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Volume 306: International Conference on Machine Learning, 6-11 July 2026, Seoul, South Korea
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Editors: Tong Zhang, Miroslav Dudik, Martin Jaggi, Alekh Agarwal, Sharon Li, Dale Schuurmans, Jerry Zhu, Felix Berkenkamp, Hanze Dong, Alberto Bietti
TUR-DPO: Topology- and Uncertainty-Aware Direct Preference Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1-21
What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22-68
QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69-83
Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84-100
MODEL SOUPS NEED ONLY ONE INGREDIENT
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101-124
Concept Heterogeneity-aware Representation Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125-149
Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150-184
Physics-Informed Residual Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:185-210
Heavy-tailed Physics-Informed Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:211-239
SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:240-267
Geometry-Guided Generative Representation for Functional Brain Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:268-283
Differential syntactic and semantic encoding in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:284-309
Multi-Way Representation Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:310-331
CauSciBench: Can LLMs Automate Causal Inference in Real-World Scientific Research?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:332-384
Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:385-410
Bridging Spherical Black-Box Optimizers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:411-434
Rethinking Visual Intelligence: Insights from Video Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:435-472
Long Grounded Thoughts: Synthesizing Visual Problems and Reasoning Chains at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:473-496
Efficient Bayesian Inference from Noisy Pairwise Comparisons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:497-516
Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:517-543
Fine-Tuning of Transformer models with Frames
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:544-564
Weight Updates as Activation Shifts: A Principled Framework for Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:565-590
A Capacity-Based Rationale for Multi-Head Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:591-626
Efficient Mismatch-Tolerant Coding for Model-Driven Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:627-644
SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:645-674
Simple Algorithms for Bad Triangle Transversals with Applications to Correlation Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:675-689
A Robust Optimization Guided Pruning Framework for Vision and Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:690-714
Consistency Training Can Entrench Misalignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:715-753
The benefits of full data shuffle, now with optimal I/O cost: $k$-wise independence and matrix transposition to the rescue
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:754-768
Efficient Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:769-793
Fast Reconstruction of Mixtures of Bernoulli Product Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:794-816
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:817-868
An Efficient Joint Learning Approach for Item Response Theory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:869-899
Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:900-921
Revisiting Asymmetries in Black-box Link Stealing against Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:922-938
Iterative Robust Satisficing: Minimizing Performance Degradation Under Distribution Shift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:939-960
Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:961-990
Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:991-1012
A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1013-1032
A Spiking Heterogeneous Harmonic Resonate-and-Fire State Space Model for Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1033-1060
BlitzRank: Principled Zero-shot Ranking Agents with Tournament Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1061-1100
What Does Flow-Matching Bring to TD-Learning?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1101-1122
Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1123-1168
TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1169-1223
Med-SegLens: Latent-Level Model Diffing for Interpretable Medical Image Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1224-1241
An Interactive Paradigm for Deep Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1242-1270
PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1271-1290
PromptDyG: Test-Time Prompt Adaptation on Dynamic Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1291-1310
Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1311-1340
MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1341-1383
Nested Spatio-Temporal Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1384-1403
WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1404-1433
Learning to Search and Searching to Learn for Generalization in Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1434-1450
PRISM: Perception Reasoning Interleaved for Sequential Decision Making.
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1451-1474
A Theoretical Framework for Statistical Evaluability of Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1475-1498
Evaluating Contextual Illegality: AI Compliance in Corporate Law Scenarios
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1499-1527
Distributional Active Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1528-1558
Compute Where it Counts: Self Optimizing Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1559-1577
Regression Language Models for Code
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1578-1601
When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1602-1629
Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1630-1646
Solving Stochastic Variational Inequalities without the Bounded Variance Assumption
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1647-1679
Set-Preserving Calibration from Conformal P-Values to E-Values
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1680-1705
Scaling Small Agents Through Strategy Auctions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1706-1766
Attention’s forward pass and Frank-Wolfe
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1767-1800
Logical Guidance for the Exact Composition of Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1801-1835
GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1836-1864
Improving ML Attacks on LWE with Data Repetition and Stepwise Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1865-1879
Robust Strategic Classification under Decision-Dependent Cost Uncertainty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1880-1908
Why Do We Need Warm-up? A Theoretical Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1909-1980
Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1981-1994
Asymmetric conformal prediction with penalized kernel sum-of-squares
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:1995-2052
Bridging Functional and Representational Similarity via Usable Information
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2053-2072
Representation Unlearning: Forgetting through Information Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2073-2095
Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2096-2115
Similarity Is Not Logic: Factored Inference for Dual-Encoder Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2116-2133
TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2134-2179
Perceptrons and Localization of Attention’s Mean-Field Landscape
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2180-2206
$\textDT^\text2$: Decision-Targeted Digital Twins
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2207-2233
MalTree: Tracing Malware Evolution from Embeddings at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2234-2266
Likelihood over Estimation: Robust Quadratic Discriminant Analysis for Heavy-Tailed Distributions with Theory and Evidence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2267-2306
Learning-Augmented Online Covering Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2307-2331
Non-Parametric Optimization for Scalable Learning in Stochastic Decision Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2332-2346
Consistent Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2347-2370
Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2371-2430
Faults in Our Formal Benchmarking: Dataset Defects and Evaluation Failures in Lean Theorem Proving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2431-2462
A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2463-2536
IPMark: A Sentence-Level Watermark for LLMs with Hierarchical Personalization and Efficient Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2537-2551
On the Computational Complexity of Performative Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2552-2576
(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2577-2613
Data-Source Adaptive Online Learning under Heteroscedastic Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2614-2649
Certified Circuits: Stability Guarantees for Mechanistic Circuits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2650-2676
The Value Function Semi-Algebraic Set in Partially Observable Markov Decision Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2677-2715
scCBGM: Single-Cell Editing via Concept Bottlenecks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2716-2754
Diffusion Differentiable Resampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2755-2786
DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2787-2830
Momentum Further Constrains Sharpness at the Edge of Stochastic Stability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2831-2871
Estimating Tail Risks in Language Model Output Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2872-2892
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2893-2920
Generalized Linear Bandits with Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2921-2948
Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2949-2986
Protein Language Model Embeddings Improve Generalization of Implicit Transfer Operators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:2987-3015
Certificates for Complex-Compatible Learned Cochain Laplacians
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3016-3055
ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3056-3102
The Sign Estimator: Preference Modeling for LLM Alignment under Heterogeneity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3103-3133
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3134-3163
Predicting the Emergence of Induction Heads in Language Model Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3164-3193
Taming Stochastic Gradient Descent: Almost Sure Convergence and Saddle-Point Avoidance under $(L_0,L_1)$-Smoothness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3194-3227
Optimal Learning from Label Proportions with General Loss Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3228-3275
Adversarial Attacks and Robust Training for Hypergraph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3276-3305
Biases in the Blind Spot: Detecting What LLMs Fail to Mention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3306-3353
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3354-3405
LLM Self-Recognition: Steering and Retrieving Activation Signatures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3406-3422
Language Generation in the Limit: Complexity Barriers and Implications for Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3423-3433
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3434-3451
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3452-3472
How does information access affect LLM monitors’ ability to detect sabotage?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3473-3526
High-Probability Convergence Guarantees of Decentralized SGD
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3527-3569
Efficient RL Training for LLMs with Experience Replay
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3570-3599
Rank-Learner: Orthogonal Ranking of Treatment Effects
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3600-3632
Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3633-3663
Minimax-Optimal Policy Regret in Partially Observable Markov Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3664-3711
Language Model Circuits Are Sparse in the Neuron Basis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3712-3753
TPV: Parameter Perturbations Through the Lens of Test Prediction Variance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3754-3795
Learning Rewrite-Invariant Reasoning with Targeted Alternation Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3796-3818
Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3819-3855
Exploiting weight-space symmetries for approximating curvature
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3856-3890
Provable Accuracy Collapse in Embedding-Based Representations under Dimensionality Mismatch
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3891-3904
AutoBaxBuilder: Bootstrapping Code Security Benchmarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3905-3952
RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3953-3992
TRACER: Persistent Regularization for Robust Multimodal Finetuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:3993-4034
Latent Reasoning in TRMs is Secretly a Policy Improvement Operator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4035-4047
Zero-Shot Off-Policy Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4048-4067
How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4068-4086
WeightCLIP: Aligning Datasets and Models for Weight Space Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4087-4104
Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4105-4157
Robust Bayes-Assisted Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4158-4202
The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4203-4220
Fast and Near-Optimal Algorithms for Private Hypothesis Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4221-4237
PGT: Procedurally Generated Tasks for improving visual grounding in MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4238-4258
VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4259-4282
Grounding Functional Similarity by Invariance-Aware Model Stitching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4283-4304
Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4305-4327
Intrinsic Credit Assignment for Long Horizon Interaction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4328-4384
Learning Partial Concept Classes and Universal Rates Under Massart Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4385-4414
SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4415-4442
Reducing Per-Sample Interference in Stochastic Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4443-4468
Recontextualization Mitigates Specification Gaming Without Modifying the Specification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4469-4516
Fair Transit Stop Placement: A Clustering Perspective and Beyond
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4517-4548
How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4549-4605
From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4606-4635
Jailbreaking Vision-Language Models Through the Visual Modality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4636-4670
Pareto-Guided Optimal Transport for Multi-Reward Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4671-4693
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4694-4707
Falling Trees: A Model Class for Interpretable Risk Prioritization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4708-4739
Quantum latent distributions in deep generative models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4740-4760
Understanding LoRA as Knowledge Memory: An Empirical Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4761-4801
Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4802-4819
SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4820-4843
Clustered Influence Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4844-4865
On the Theoretical Limitations of Embedding-based Link Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4866-4893
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4894-4916
Neural Logistic Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4917-4961
Training-Free Coverless Multi-Image Steganography with Access Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4962-4984
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:4985-5016
Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5017-5030
D-FUSEr: Diverse Failure, Unified Success via Error-Distribution Shaping in LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5031-5063
Learning to Theorize the World from Observation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5064-5106
Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5107-5124
Sycophancy Towards Researchers Drives Performative Misalignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5125-5143
Proactive Defense Benchmark against Deepfake Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5144-5178
Taking the GP Out of the Loop
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5179-5199
Test-time Offline Reinforcement Learning on Goal-related Experience
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5200-5218
When Can We Trust Survival Model Evaluation ?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5219-5244
Op-CAD: Benchmarking and Investigating Operation-oriented CAD Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5245-5264
Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5265-5279
Threshold-Guided Optimization for Visual Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5280-5302
Let Language Constrain Geometry: Vision–Language Models as Semantic and Spatial Critics for 3D Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5303-5323
SafeLab: An Interactive High-Fidelity Benchmark for Embodied Safety in Scientific Robotics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5324-5347
PRISM: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5348-5388
Rethinking Efficient Graph Coarsening via a Non-Selfishness Principle
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5389-5408
Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5409-5426
GI-GCN: Global Interacted Graph Convolutional Networks via Dominant Sets for Graph Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5427-5441
Interactive Person Retrieval via Multi-Turn Multimodal Conversation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5442-5459
D-ARL: A Distribution-Matched Asynchronous Reinforcement Learning Framework for Language Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5460-5478
Diving into Kronecker Adapters: Component Design Matters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5479-5501
Towards Understanding Adam Convergence on Highly Degenerate Polynomials
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5502-5539
Optimizing Few-Step Generation with Adaptive Matching Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5540-5565
Adaptive Preconditioners Trigger Loss Spikes in Adam
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5566-5601
Compressed Sensing for Capability Localization in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5602-5622
Supervised Guidance Training for Infinite-Dimensional Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5623-5647
Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5648-5674
Collaborative Threshold Watermarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5675-5698
miniF2F-Dafny: LLM-Guided Mathematical Theorem Proving via Auto-Active Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5699-5716
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5717-5747
Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5748-5785
Learning in Structured Stackelberg Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5786-5810
Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5811-5848
Regret-Based Federated Causal Discovery with Unknown Interventions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5849-5863
Is One Layer Enough? Understanding Inference Dynamics in Tabular Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5864-5910
Quantifying LLM Attention-Head Stability: Implications for Circuit Universality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5911-5944
Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5945-5978
Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:5979-6001
Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6002-6023
Don’t Walk the Line: Boundary Guidance for Filtered Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6024-6040
A Machine-Learned Comorbidity Index
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6041-6075
DOT-MoE: Differentiable Optimal Transport for MoEfication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6076-6092
XRPO: Pushing the Limits of GRPO with Targeted Exploration and Exploitation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6093-6107
Riemannian Metric Matching for Scalable Geometric Modeling of Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6108-6127
EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6128-6150
RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6151-6171
Local-Minima-Preserving Polynomial Relaxation of Ising Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6172-6193
Efficient Continuous-Depth Modeling with GRU Equivalents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6194-6209
Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6210-6241
Bandit Social Learning with Exploration Episodes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6242-6280
Adversarially Robust Approximate Furthest Neighbor
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6281-6297
Improved Dynamic Algorithm for Non-monotone Submodular Maximization under Cardinality Constraint
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6298-6308
Matroid Algorithms Under Size-Sensitive Independence Oracles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6309-6324
Conformal C2ST: Turning weak classifiers into strong two-sample tests
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6325-6352
Learning Junta Distributions, Quantum Junta States, and QAC$^0$ Circuits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6353-6369
Towards Steering without Sacrifice: Principled Training of Steering Vectors for Prompt-only Interventions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6370-6432
Universal Redundancies in Time Series Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6433-6465
Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics - Rotating Detonation Engines
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6466-6491
DRIFT-BENCH: Diagnosing CoopeRative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6492-6559
Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6560-6579
Optimal Rates for Feasible Payoff Set Estimation in Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6580-6629
Extracting alignment data in open models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6630-6655
Message Passing on the Edge: Towards Scalable and Expressive GNNs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6656-6681
A theory of learning data statistics in diffusion models, from easy to hard
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6682-6703
On the Origin of Neural Scaling Laws: from Random Graphs to Natural Language
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6704-6735
$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6736-6782
MoDA: Modulation Adapter for Fine-Grained Visual Understanding in Instructional MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6783-6798
VocSim A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6799-6861
General Synthetic-Powered Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6862-6907
Learning to Perceive the World Through Control: Empowerment-Based Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6908-6938
Performative Policy Gradient: Optimality in Performative Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6939-6983
Networked Information Aggregation for Binary Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6984-6994
Beyond Rewards in RL for Cyber Defence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:6995-7019
Uncovering the Latent Potential of Deep Intermediate Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7020-7055
INDUCTION: Finite-Structure Concept Synthesis in First-Order Logic
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7056-7091
A unified theory of feature learning in RNNs and DNNs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7092-7123
MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7124-7143
The Relative Instability of Model Comparison with Cross-validation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7144-7178
Physics-Informed Coarsening for Multigrid Graph Neural Surrogates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7179-7194
Stronger Benchmarks for Prediction as a Service with Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7195-7225
Symmetries in PAC-Bayesian Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7226-7243
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7244-7286
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7287-7313
Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7314-7341
Memory Caching: RNNs with Growing Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7342-7360
ATLAS: Learning to Optimally Memorize the Context at Test Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7361-7390
DecAEvolve: Decompose, Adapt, and Evolve for Effective LLM-based Scientific Equation Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7391-7411
Continual Model Routing in Evolving Model Hubs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7412-7453
Efficient Public Verification of Private ML via Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7454-7468
CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7469-7496
Improving Zero-Shot Offline RL via Behavioral Task Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7497-7515
Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7516-7540
Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7541-7578
Distribution Alignment for One-Shot Federated Learning via Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7579-7592
Alignment-Aware Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7593-7612
Reasoning Structure of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7613-7640
Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7641-7656
Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7657-7682
Who Said Neural Networks Aren’t Linear?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7683-7706
Smoothness Errors in Dynamics Models and How to Avoid Them
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7707-7740
Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7741-7765
Approximate Equivariance via Projection-Based Regularisation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7766-7790
M-Star: Markovian Projection of Star-Shaped Diffusion for Exponential Family Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7791-7814
Skill Neologisms: Towards Skill-based Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7815-7836
Motion Planning in Compressed Representation Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7837-7855
RSA-CP: Efficient Conformal Prediction in Small-Sample Regimes via Random Score Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7856-7883
Embedding Trust: Semantic Isotropy Predicts Nonfactuality in Long-Form Text Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7884-7905
CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7906-7940
STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7941-7960
Dynamic High-Dimensional Facility Location with Low Recourse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7961-7979
Provably Learning Attention with Queries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7980-7998
EchoRL: Reinforcement Learning via Rollout Echoing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:7999-8021
FedFit: Federated Dynamic Sparse Training via Fisher Information scoring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8022-8043
Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8044-8062
Does Reasoning Improve Seeing? Understanding When Vision-Language Models Benefit from Thinking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8063-8075
The Geometry of Reasoning: Self-Evaluation via Layerwise Trajectory Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8076-8099
RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8100-8118
Future-Gain Guided Test-Time Learning for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8119-8144
AgentVocab: Structure-Aware Vocabulary Adaptation for Efficient LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8145-8181
CURE: Consistency-under-Unified Semantic Regularization for Generalized Category Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8182-8203
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8204-8234
Retrieval-Aware Distillation for Transformer-SSM Hybrids
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8235-8247
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8248-8276
What If We Allocate Test-Time Compute Adaptively?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8277-8301
Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8302-8319
CORAL: Uncertainty-Aware Regulation of Exposure Concentration in Recommender Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8320-8339
CARE: Adaptive Calibration for Reliable Recommendations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8340-8372
Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8373-8445
FOVI: A biologically-inspired foveated interface for deep vision models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8446-8469
Optimal Transport under Group Fairness Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8470-8495
Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8496-8541
Batched First-Order Methods for Parallel LP Solving in MIP
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8542-8557
Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8558-8593
On Contraction of Sequential and Offset Rademacher Complexities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8594-8617
Noise-Guided Transport: Imitation Learning from Random Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8618-8643
Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8644-8675
Benchmarking Dense and Indiscernible Object Counting with Blueberries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8676-8691
Efficient Multi-modal Dataset Distillation via Analytic Parameter Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8692-8706
Counterfactual Bootstrap for Robust Meta-Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8707-8731
VFMF: Dense Forecasting by Generating Vision Foundation Model Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8732-8759
Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8760-8793
Statistically Undetectable Backdoors in Deep Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8794-8823
Uncovering Competency Gaps in Large Language Models and Their Benchmarks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8824-8898
Token Sample Complexity of Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8899-8947
FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8948-8969
Learning in Bayesian Stackelberg Games With Unknown Follower’s Types
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8970-8994
Online Contract Design With Unknown Technology
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:8995-9014
Persuasive Privacy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9015-9038
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9039-9057
Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9058-9093
Causal Preference Elicitation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9094-9128
Learning to Remember, Learn, and Forget in Attention-Based Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9129-9151
Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9152-9177
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9178-9241
Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9242-9268
Diffract: Spectral View of LLM Domain Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9269-9294
Cold-Start Personalization via Bayesian Adaptive Questioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9295-9321
Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9322-9362
Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization’s Impact on VLMs Beyond Accuracy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9363-9391
Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9392-9429
Provable Bounds for the Learnability of Sample-Compressible Families from Noisy Samples
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9430-9466
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9467-9493
Time Series Forecasting Through the Lens of Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9494-9530
Local Mechanisms of Compositional Generalization in Conditional Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9531-9565
Efficient Learning of Deep State Space Models via Importance Smoothing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9566-9597
Is Generation Required for Data-Efficient Perception?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9598-9622
Continuous-Time Piecewise-Linear Recurrent Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9623-9652
Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9653-9686
Spectral Gradient Descent Mitigates Anisotropy-Driven Misalignment: A Case Study in Phase Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9687-9733
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9734-9756
Conditional Coverage Diagnostics for Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9757-9794
Online Learning with Recency: Algorithms for Sliding-window Streaming Multi-armed Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9795-9825
Detecting Perspective Shifts in Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9826-9855
STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9856-9873
Exploring and Exploiting Stability in Latent Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9874-9898
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9899-9932
The Expressive Power of Low Precision Softmax Transformers with (Summarized) Chain-of-Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:9933-10000
Mind the Budget: Accelerating Deep Reinforcement Learning using Constrained Early Exit Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10001-10016
Flatness-Aware Stochastic Gradient Langevin Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10017-10050
Provable Sample Efficiency of Curriculum Post-Training for Transformer Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10051-10110
Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10111-10146
Scaling depth capacity via zero/one-layer model expansion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10147-10165
Stochastic Neural Ray Tracing for Radio Frequency Channel Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10166-10183
Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10184-10198
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10199-10218
HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10219-10252
Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10253-10300
All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10301-10319
Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10320-10340
Seeing to Generalize: How Visual Data Corrects Binding Shortcuts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10341-10371
HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10372-10394
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10395-10419
Robust Human-AI Complementarity under Uncertainty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10420-10449
Deriving Neural Scaling Laws from the Statistics of Natural Language
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10450-10480
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10481-10502
From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10503-10520
Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10521-10531
ElicitR: Unlocking Latent Reasoning in Dense Retrievers via Generative Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10532-10555
Privacy-Aware Data Integration for Enhanced Quantile Inference under Heterogeneity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10556-10590
CONTEXTOR: Contextualized High-order Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10591-10609
Improving Classifier-Free Guidance of Flow Matching via Manifold Projection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10610-10635
Mode Seeking meets Mean Seeking for Fast Long Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10636-10652
Mining Tensor/Neuron-Level Sparsity to Maximize Mixture-of-Experts Potential in Post-Training and Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10653-10668
Fast Spectrally Sparse Signal Reconstruction via Jacobi-Preconditioned Gradient Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10669-10704
Escaping the Verifier: Learning to Reason via Demonstrations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10705-10735
Column Thresholding for Sparse Spiked Wigner Models: Improved Signal Strength Requirements
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10736-10763
FUSE: Full-spectrum Unlearnable Examples via Spectral Equalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10764-10788
TIMI: Training-Free Image-to-3D Multi-Instance Generation with Spatial Fidelity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10789-10800
The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-Modal Divergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10801-10854
Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10855-10871
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10872-10938
Richer Bayesian Last Layers with Subsampled NTK Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10939-10961
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10962-10983
Probably Approximately Correct Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:10984-11001
Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11002-11043
Deep Flow Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11044-11062
Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11063-11082
Required Spine Optional Limbs: Heterogeneous Federated Learning via Backbone-sharing and Activation-guided Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11083-11098
On the Robustness of Langevin Dynamics to Score Function Error
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11099-11119
Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11120-11140
Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11141-11157
Efficient Learned Image Compression without Entropy Coding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11158-11181
Direct Flow Q-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11182-11205
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11206-11254
On the Power of Statistics in Class-Incremental Learning with Pretrained Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11255-11271
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11272-11301
Multi-Label Learning with Contrastive Cluster Self-Supervision for 3D Hierarchical Semantic Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11302-11316
Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11317-11349
A Control-Theoretic View of Mamba on Stability and Robustness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11350-11364
VideoTrace-R1: Long Video-based Retrieval-Augmented Generation via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11365-11376
LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11377-11391
Beyond Static Allocation: Dynamic Sensitivity-Aware Fine-Tuning for Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11392-11417
Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11418-11432
OSNIP: Balancing the Privacy-Utility-Efficiency Trilemma in LLM Inference via Obfuscated Semantic Null Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11433-11455
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11456-11476
Where Detectors Fail: Probing Generative Space for Generalizable AI-Generated Image Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11477-11495
Causal Feature Learning via Generalized Rayleigh Quotients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11496-11517
Hierarchical Policy Learning via Spectral Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11518-11535
T2AV-Compass: Towards Unified Evaluation for Text-to-Audio-Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11536-11580
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11581-11605
Understanding Behavior Cloning with Action Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11606-11640
Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11641-11668
DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11669-11695
Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11696-11719
StructMAR: Structure-Aware Masked Autoregression for Explicit Layout Alignment in Text-to-Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11720-11742
Models Under SCOPE: Scalable and Controllable Routing via Pre-hoc Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11743-11785
LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11786-11814
Diversity-Aware Recursive Feature Multiple Kernel Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11815-11829
Enhanced Multi-Instance Partial Label Learning via Average Gradient Outer Product
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11830-11842
SEDRAS: Symbolically Evaluated Deep Research And Science
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11843-11864
Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11865-11894
Discrete Diffusion Samplers and Bridges: Off-Policy Algorithms and Applications in Latent Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11895-11921
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11922-11975
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:11976-12000
SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12001-12023
Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12024-12045
Conditional Diffusion Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12046-12078
A Unifying View of Variational Generative Wasserstein Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12079-12134
Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12135-12188
Geometric Convergence of Gauss–Newton for Neural Networks: Riemannian Geometry and Adaptive Damping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12189-12214
PartCo: Part-Level Correspondence Priors Enhance Category Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12215-12239
Sparser, Faster, Lighter Transformer Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12240-12279
KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12280-12293
Safe and Scalable Web Agent Learning via Recreated Websites
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12294-12331
Efficient Online Variational Estimation via Monte Carlo Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12332-12362
N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12363-12382
From Diagrams to Code: Multilingual Programming with Visual Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12383-12423
GXPO: Group Cross-Lingual Relative Policy Optimization for Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12424-12434
Probabilistically-routed Bayesian Additive Spanning Trees for Learning on Constrained Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12435-12459
Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12460-12474
Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12475-12516
DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12517-12549
Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12550-12595
Curating the Future: A Scalable Recipe for Training Open-Ended Forecasters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12596-12638
A Systematic Study of Behavioral Cloning for Scientific Data Annotation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12639-12684
The Surprising Difficulty of Search in Model-Based Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12685-12717
MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12718-12737
ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12738-12757
xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12758-12778
How2Everything: Mining the Web for How-to Procedures to Evaluate and Improve LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12779-12825
Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12826-12853
RetrOrchestrator: A Multi-Step Retrosynthesis Agent Dynamically Orchestrating Single-Step Transition Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12854-12888
Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12889-12915
Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12916-12947
SpanNorm: Reconciling Training Stability and Performance in Deep Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12948-12966
Doc-to-LoRA: Learning to Instantly Internalize Contexts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12967-12997
Tokenised Flow Matching for Hierarchical Simulation Based Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:12998-13022
Faithful Relational Reasoning with Region-based Embeddings: Expressivity of Convex Coordinate-wise Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13023-13065
MetaPerch: Learning from metadata for bioacoustics foundation models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13066-13088
Bioacoustic Geolocation: Species Sounds as Geographic Signals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13089-13114
One-shot Conditional Sampling: MMD meets Nearest Neighbors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13115-13163
Blending Neural Control Density Functions for Stabilization and Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13164-13183
The Geometry of Projection Heads: Conditioning, Invariance, and Collapse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13184-13212
Independent Component Discovery in Temporal Count Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13213-13246
Token-Efficient Change Detection in LLM APIs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13247-13277
NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13278-13299
MetaOthello: A Controlled Study of Multiple World Models in Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13300-13315
Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13316-13328
Iterated Population Based Training with Task-Agnostic Restarts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13329-13345
Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13346-13380
Scalable Kronecker-Factored Fisher Approximation for Neural Network Parameter Sensitivity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13381-13399
Adapting Noise to Data: Generative Flows from Learned 1D Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13400-13430
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13431-13452
Differentially Private Range Subgraph Counting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13453-13489
OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13490-13512
NOMAD: Lifelong Trajectory Planning via Non-Parametric Bayesian Memory-Adaptive Diffusion Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13513-13532
Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13533-13580
Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis–Hastings with Approximate Operators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13581-13602
FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13603-13619
Vector Linking via Cross-Model Local Isometric Consistency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13620-13651
PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13652-13672
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13673-13699
PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13700-13725
CausalGame: Benchmarking Causal Thinking of LLM Agents in Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13726-13765
Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13766-13781
Mind the Gap: Catching Hallucinations via Evidence Drop on the Reasoning Manifold
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13782-13806
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13807-13834
High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13835-13869
L-CUBE: Isolating Long-Context Capacity from Knowledge with Controllable Mutual Information Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13870-13909
MARS: Modular Agent with Reflective Search for Automated AI Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13910-13962
When Preference Labels Fall Short: Aligning Diffusion Models from Real Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13963-13979
Test-Time Learning of Causal Structure from Interventional Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:13980-14018
Foundation VAEs for CT Reconstruction, Augmentation, and Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14019-14036
PRISM: Training-Free Video Anomaly Detection via Intrinsic Statistical Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14037-14049
Hista and Numca: Estimate State Value Effectively for Large Language Model Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14050-14079
Adaptive Probe-based Steering for Robust LLM Jailbreaking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14080-14098
SGERA: Stein-Guided ECG-Report Alignment for ECG Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14099-14117
WUSH: Near-Optimal Adaptive Transforms for LLM Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14118-14144
StormInsight: Hierarchical Environmental Forcing and Vertical Coupling for Convective Systems Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14145-14169
PhyScene3D: Physically Consistent Interactive 3D Tabletop Scene Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14170-14192
Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14193-14207
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14208-14231
Chain-of-Thought Gradient Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14232-14278
Split Group Knockoffs: Controlling False Discovery Rate in Transformational Group Sparsity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14279-14298
Information-Theoretic Disentangled Latent Modeling with Conditional Diffusion for Incomplete Multi-View Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14299-14323
Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14324-14345
From Holo Pockets to Electron Density: GPT-style Drug Design with Density
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14346-14366
Normalizing Flows with Iterative Denoising
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14367-14376
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14377-14391
OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14392-14415
Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14416-14449
Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14450-14463
EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14464-14507
Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14508-14537
The Unlearnability Phenomenon in RLVR for Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14538-14561
AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14562-14588
Test-Time Reinforcement Learning for Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14589-14624
FACT: Fuzzy Alignment with Comorbidity Topology for Reliable Multi-Label Medical Image Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14625-14650
Do-Prompt: Causal Interventions Meet Variational Prompt Bottlenecks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14651-14664
Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14665-14687
Multi-Head Attention as a Source of Catastrophic Forgetting in MoE Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14688-14706
IO-Adam: Rethinking Memory-Efficient Adaptive Optimizers from Gradient Computation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14707-14720
MolAlign3D: Enhancing Fixed-Dimensional E(3)-Equivariant Latent Space for High-Fidelity 3D Molecular Reconstruction and Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14721-14746
Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14747-14768
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance–Diversity Data Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14769-14785
All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14786-14830
How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14831-14858
Thinned Mean Field Langevin Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14859-14883
Stationary MMD Points
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14884-14912
Black-Box Detection of LLM-Generated Text Using Generalized Jensen Shannon Divergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14913-14955
Discovering Implicit Large Language Model Alignment Objectives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:14956-15002
Learning to Reason for Factuality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15003-15022
What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15023-15042
Amodal Instance Segmentation with IRAIS Dataset for Sim-to-Real Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15043-15059
RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15060-15090
Reward-free Alignment for Conflicting Objectives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15091-15117
Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15118-15145
Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15146-15169
Understanding SAM through Minimax Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15170-15193
Bi-Anchor Interpolation Solver for Accelerating Generative Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15194-15210
Diversity-aware Weight Perturbation Promotes Robust Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15211-15227
$φ$-Balancing for Mixture-of-Experts Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15228-15245
Selective Disclosure Watermarking for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15246-15271
BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15272-15289
Towards Docking-oriented De Novo Ligand Design via Gradient Inversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15290-15342
DFlash: Block Diffusion for Flash Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15343-15355
TSMGen: Target-Specific Molecule Generation via Higher-Order Structural Dependencies and Context-Aware Bidirectional Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15356-15369
Code2Video: A Code-centric Paradigm for Educational Video Creation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15370-15396
Focus and Dilution: The Multi-stage Learning Process of Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15397-15450
HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15451-15465
Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15466-15489
Threat2Traffic: Multi-Agent Environment Synthesis for Malware Traffic Generation from Threat Intelligence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15490-15511
Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15512-15559
ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15560-15573
WEVSR: Video Diffusion Generators for Real-World Video Super-Resolution with Wavelet-Enhanced VAE Encoder
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15574-15584
InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15585-15613
LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15614-15637
Hamiltonian Asymmetric Fusion: One-Way Safe Directed Refinement under Modality Imbalance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15638-15657
Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15658-15677
Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15678-15701
Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15702-15733
TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15734-15753
MALICE: Memory-aware Loop Invariants Generation on Symbolic Execution Traces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15754-15774
Focusing: View-Consistent Sparse Voxels for Efficient 3D VAE Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15775-15789
Rethinking Instruction Drift as a Sampling Error: SNR-Aware Power Distributions for Long-Horizon Robotic Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15790-15813
Personalized Additive Modeling for Multi-level Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15814-15835
Efficient Inference for Noisy LLM-as-a-Judge Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15836-15860
DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15861-15884
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15885-15918
SLAE: Strictly Local All-atom Environment for Protein Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15919-15944
Co-Generative De Novo Functional Protein Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15945-15965
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15966-15998
RADAR: Defending RAG Dynamically against Retrieval Corruption
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:15999-16021
Beyond Global Alignment: Fine-Grained Motion-Language Retrieval via Pyramidal Shapley-Taylor Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16022-16040
Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16041-16062
Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16063-16104
How can we assess human-agent interactions? Case studies in software agent design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16105-16124
Protein Fold Classification at Scale: Benchmarking and Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16125-16143
Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16144-16192
Olmix: A Framework for Data Mixing Throughout LM Development
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16193-16242
How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16243-16271
Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16272-16294
Discovering Symmetry Groups with Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16295-16323
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16324-16341
Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16342-16360
SimpleGPT: Improving GPT via A Simple Normalization Strategy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16361-16386
Multi-Agent Reinforcement Learning with Submodular Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16387-16417
DOUBT: Decoupled Object-level Understanding and Bridging via vMF-based Trustworthiness for Hallucination Detection in MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16418-16441
3DGS-HPC: Distractor-free 3D Gaussian Splatting with Hybrid Patch-wise Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16442-16460
XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16461-16478
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16479-16494
Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16495-16530
AudioChat: Unified Audio Storytelling, Editing, and Understanding with Transfusion Forcing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16531-16552
Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16553-16580
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16581-16608
SMILE: Extended Deep Submodular Function-Based Instruction and In-context Learning Demonstration Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16609-16629
Autoregression with Self-Token Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16630-16656
SPR: A Structured Prompt Refinement Network for Modality Missing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16657-16671
Toward Stable Value Alignment: Introducing Independent Modules for Consistent Value Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16672-16703
Beyond Logits: Coherent Hallucination Mitigation via Attention Contrastive Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16704-16741
Noise as a Natural Regularizer in Markov Decision Processes: Connecting Environmental Stochasticity and Policy Simplicity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16742-16767
Beyond Blind Noising: Disentangled Visual Rectification for Hallucination Mitigation in MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16768-16805
RELO: Reinforcement Learning to Localize for Visual Object Tracking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16806-16822
Mixtures of Geodesic Factor Analyzers on Riemannian Homogeneous Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16823-16874
Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16875-16909
OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16910-16928
DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16929-16944
A Causal Decomposition Approach for Fair Contextual Multi-Armed Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16945-16995
AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:16996-17023
A Bayesian Approach to Quantify the Uncertainty of Human Ratings in a Single-Instance Multimodal Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17024-17038
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17039-17084
Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17085-17119
Multiview Self-Representation Learning across Heterogeneous Views
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17120-17140
Discrete Tilt Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17141-17164
Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17165-17189
OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17190-17208
Do LLMs Signal When They’re Right? Evidence from Neuron Agreement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17209-17223
Continuity-Regularized Flow Matching for Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17224-17248
Escaping the Subspace Trap: The Role of Optimizer Geometry in Model Width Expansion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17249-17263
Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17264-17290
Learning to Self-Verify Makes Language Models Better Reasoners
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17291-17307
From Extraction to Deduction: Resolving Functional Misalignment in RAG via a Collaborative Critic-Reasoner Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17308-17328
Context Forcing: Consistent Autoregressive Video Generation with Long Context
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17329-17343
Stability and Generalization of Nonconvex Optimization with Heavy-Tailed Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17344-17370
SCHUR-A*: Layer-wise Optimal Expert Pruning for MoEs via Schur-Complement Guided A* Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17371-17386
QiMeng-PerceptOS: Semantic-Aware Kernel Optimization for OS-Intensive Workloads via Hardware-Software Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17387-17410
SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17411-17424
Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17425-17446
INT vs. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17447-17466
Riemannian Networks over Full-Rank Correlation Matrices
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17467-17507
ScalingAR: Scaling Confidence for Autoregressive Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17508-17526
HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17527-17551
Towards Disentangled Preference Optimization Dynamics: Suppress the Loser, Preserve the Winner
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17552-17585
AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17586-17602
General Quantification of Covariate and Concept Shifts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17603-17640
TrustworthyQENN: A Quantum Evidential Neural Network Based on Complex-Valued Contrastive Learning for Uncertainty Pattern Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17641-17664
OnePO: Direct One-stage Policy Optimization for SFT-free Domain Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17665-17691
BabyVision: Visual Reasoning Beyond Language
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17692-17713
Self-Supervised Dynamical System Representations for Physiological Time-Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17714-17733
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17734-17765
NanoSpec: Accelerating Speculative Decoding using Minimalist In-Context Vocabularies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17766-17779
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17780-17799
MetaStreet: Semi-Supervised Multimodal Learning for Street-Level Socioeconomic Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17800-17814
Real-World Unsupervised Models Generalize to Predict Brain Responses to Out-of-Distribution Stimuli
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17815-17839
GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17840-17865
PCRNet: Phase-aware Complex Refinement Network for EEG-based Auditory Attention Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17866-17880
CONCUR: High-Throughput Agentic Batch Inference of LLM via Congestion-Based Concurrency Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17881-17891
Online Linear Programming for Multi-Objective Routing in LLM Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17892-17912
Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17913-17939
Show, Don’t Tell: Morphing Latent Reasoning into Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17940-17959
Generalizable and Actionable Parts Pose Estimation with Symmetry Annotation-Free Learning Strategy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17960-17978
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:17979-18005
Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18006-18025
JANUS-LORA: A Balanced Low-Rank Adaptation for Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18026-18040
Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Spectral Super-Resolution for Snapshot Compressive Imaging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18041-18055
CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18056-18080
Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18081-18098
Transport or Discard: Robust Unbalanced Optimal Transport for Cross-Domain Policy Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18099-18123
CGSVD: Cascaded Granular Singular Value Decomposition for Large Language Model Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18124-18141
Leaderboard Incentives: Model Rankings under Strategic Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18142-18165
Distributionally Robust Set Representation Learning Under Inference-Time Element Corruption
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18166-18187
JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18188-18206
From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18207-18234
DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18235-18258
Offline Two-Player Zero-Sum Markov Games with KL Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18259-18316
Scaling Law for Quantization-Aware Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18317-18336
Weaving Graph over Tokens: Contextualizing Structured Sequences for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18337-18357
Nonlinear Covariate Balance in Experimental Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18358-18379
Any2Any: Unified Arbitrary Modality Translation for Remote Sensing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18380-18397
DECOR: Learning to Decompose and Collaborate in Deep Search via Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18398-18416
Learn to Merge: Meta-Learning for Adaptive Multi-Task Model Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18417-18437
Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18438-18465
Coarse-Grained Boltzmann Generators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18466-18491
Towards Optimal Robustness in Learning-Augmented Paging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18492-18516
GraphP-FL: Personalized Federated Graph Learning via Dynamic Structure Awareness and Fisher Information Elastic Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18517-18536
Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18537-18556
Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18557-18567
ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18568-18588
ImgCoT: Compressing Long Chain of Thought into Compact Visual Tokens for Efficient Reasoning of Large Language Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18589-18604
HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18605-18626
RBCBF: Decoding Time Safety Alignment via Risk Guided Rollback and Barrier Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18627-18653
$A_2$DEPT: Large Language Model–Driven Automated Algorithm Design via Evolutionary Program Trees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18654-18693
$\textitS$-SPPO: Semantic-Calibrated Self-Play Preference Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18694-18711
Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18712-18756
Theoretical Challenges in Learning for Branch-and-Cut
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18757-18781
FS-I2P: A Hierarchical Focus–Sweep Registration Network with Dynamically Allocated Depth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18782-18799
Escaping Whack-a-Mole: Optimizing Documentation as Repo-Specific Playbooks for Coding Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18800-18827
Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18828-18860
Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18861-18886
Achieving Structurally Robust Gromov Wasserstein Distance via Adaptive Dual-Mask
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18887-18913
Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18914-18940
CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18941-18965
Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18966-18978
What Makes a Desired Graph for Relational Deep Learning?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18979-18996
Deep Discriminative Structure Proxy Hashing for Cross-modal Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:18997-19007
Abstraction Induces the Brain Alignment of Language and Speech Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19008-19031
Physics-Informed Pre-training on Efficient Electron-Density Images for Organic Material Property Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19032-19057
IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19058-19078
PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19079-19098
HypCL: Adapting CLIP in Hyperbolic Space for Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19099-19111
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19112-19144
Domain Adaptation with Adaptive $f$-Divergence: Tighter Variational Representation and Generalization Bounds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19145-19178
Hybrid Reinforcement Learning in Adversarial Markov Decision Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19179-19210
KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19211-19235
FairSSL: Fair Multimodal Self-Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19236-19266
Visual Persuasion: What Influences Decisions of Vision-Language Models?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19267-19312
KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19313-19353
Entropic Mirror Monte Carlo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19354-19375
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19376-19394
GameDevBench: Evaluating Agentic Capabilities Through Game Development
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19395-19423
EvoCF: Multi-Agent Collaboration via Agentic Memory-Driven Evolutionary Counterfactual Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19424-19437
Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19438-19458
Unifying and Optimizing Data Values for Selection via Sequential Decision-Making
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19459-19493
Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19494-19521
MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19522-19545
Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19546-19580
Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19581-19610
When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19611-19654
Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19655-19671
TAG: Tangential Amplifying Guidance for Hallucination-Resistant Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19672-19698
Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19699-19716
GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19717-19748
Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19749-19764
Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19765-19786
Bilinear Bandits with Partially Observable Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19787-19818
Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19819-19858
CorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19859-19903
Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19904-19921
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19922-19943
PinTok: Tokenizers Deserve Dedicated Pinned CPU-Compute and Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19944-19961
Efficient Skill Grounding via Code Refactoring with Small Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19962-19995
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:19996-20020
The Truth Stays in the Family: Enhancing Contextual Truthfulness via Inherited Heads in Model Lineages
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20021-20044
Anchored Self-Play for Code Repair
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20045-20067
Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20068-20099
Toward Structural Multimodal Representations: Specialization, Selection, and Sparsification via Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20100-20126
EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20127-20169
Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20170-20197
Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20198-20219
Reinforced Sequential Monte Carlo for Amortised Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20220-20249
Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20250-20278
Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20279-20309
Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20310-20334
NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20335-20364
Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20365-20397
Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20398-20416
Approximate Proportionality in Online Fair Division
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20417-20450
Learning Unanimously Acceptable Lotteries via Queries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20451-20493
Computationally-efficient Graph Modeling with Refined Graph Random Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20494-20516
Learning When to Attend: Conditional Memory Access for Long-Context LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20517-20542
Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20543-20565
LAGEA: Language Guided Embodied Agents for Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20566-20588
S2M-Net: Spectral-Spatial Mixing with Morphology-Aware Adaptive Loss for Medical Image Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20589-20624
SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20625-20659
Efficient LLM Moderation with Multi-Layer Latent Prototypes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20660-20685
Value Aggregation with Uncertainty in Online Decentralized MARL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20686-20706
End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20707-20721
Balancing Plasticity and Stability with Fast and Slow Successor Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20722-20775
The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20776-20798
Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20799-20839
Global Geometry Is Not Enough for Vision Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20840-20862
Offline Reinforcement Learning with Universal Horizon Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20863-20881
Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20882-20899
Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20900-20940
Attentive Multi-Layer Fusion for Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20941-20967
Conformal Prediction for Early Stopping in Mixed Integer Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20968-20984
Transformer Circuits Can Realize Clustering Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:20985-21019
Learning-Augmented Online Minimization with Dual Predictions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21020-21045
Adaptively Robust Resettable Streaming
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21046-21087
Realizable Bayes-Consistency for General Metric Losses
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21088-21101
Improved Distribution Estimation in $\ell_∞$
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21102-21115
MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21116-21134
Barriers to Counterfactual Credit Attribution for Autoregressive Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21135-21153
Active Learning with Low-Rank Structure for Data Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21154-21175
Unifying Stacking and Cascading for Efficient Ensemble Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21176-21211
Prototype-Grounded Concept Models for Verifiable Concept Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21212-21229
Multicalibration Yields Better Matchings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21230-21240
Constrained hybrid modelling to predict microbial dynamics and organic matter turnover in soil systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21241-21256
Emergent Alignment via Competition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21257-21292
RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21293-21322
Geometric Conformal Prediction with Spatial Ranks and Multivariate Quantiles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21323-21348
Predicting evolutionary rate as a pretraining task improves genome language model representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21349-21373
Expressivity-Efficiency Tradeoffs for Hybrid Sequence Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21374-21398
Fast Mixing Steady-State Control in Markov Decision Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21399-21436
Beyond Binary: Continuous State Optimization with Graph-Structured Objectives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21437-21466
Optimized Deferral for Imbalanced Settings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21467-21492
A Theoretical Framework for Modular Learning of Robust Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21493-21538
BLIPs: Bayesian Learned Interatomic Potentials
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21539-21559
PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21560-21583
Abductive Reasoning with Probabilistic Commonsense
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21584-21595
Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21596-21637
Scalable and Differentiable Point-Cloud Registration Using Maximum Mean Discrepancy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21638-21649
ANTiC: Adaptive Neural Temporal In Situ Compressor
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21650-21680
An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21681-21716
SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21717-21744
Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21745-21776
Extending Prediction-Powered Inference through Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21777-21804
Ski Rental with Distributional Predictions of Unknown Quality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21805-21828
Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21829-21846
Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21847-21863
A General Framework for Fair and Robust Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21864-21884
Asymptotic Theory of Iterated Empirical Risk Minimization, with Applications to Active Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21885-21949
Geometry-Aware Dataset Condensation for Diffusion Model Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21950-21983
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:21984-22006
DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22007-22029
Less Is More: Elevating RAG via Performance-Driven Context Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22030-22046
Transport and Merge: Cross-Architecture Merging for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22047-22064
Bayesian Gated Non-Negative Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22065-22094
Deep Single-Index Fréchet Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22095-22114
Efficient Stochastic Optimisation via Sequential Monte Carlo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22115-22159
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22160-22180
Optimal Regularization for Performative Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22181-22213
Induction Heads Interpolate N-Grams
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22214-22245
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22246-22262
Distribution-Calibrated Inference Time Compute for Thinking LLM-as-a-Judge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22263-22285
Adaptive Volumetric Mechanical Property Fields Invariant to Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22286-22333
SVRG and Beyond via Posterior Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22334-22357
TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22358-22384
Identifying Latent Concepts and Structures for Generalized Category Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22385-22395
RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22396-22450
Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22451-22492
Learn from A Rationalist: Distilling Intermediate Interpretable Rationales
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22493-22508
Positive-Unlabeled Learning with Extreme Scarcity of Labeled Positives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22509-22527
Context-level Language Modeling by Learning Predictive Context Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22528-22545
TextMesh4D: Zero-shot Text-to-4D Mesh Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22546-22562
Causal Modeling of Selection in Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22563-22589
VideoSEG-O3: A Multi-turn Reinforcement Learning Framework for Reasoning Video Object Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22590-22616
When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22617-22632
Explaining Data Mixing Scaling Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22633-22670
Avoid What You Know: Divergent Trajectory Balance for GFlowNets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22671-22688
Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22689-22728
SG2Loc: Sequential Visual Localization on 3D Scene Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22729-22742
Quantifying the Generalization Gap in Seizure Detection: A Large-Scale Empirical Benchmark via the SzCORE Challenge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22743-22757
Interventional Processes For Causal Uncertainty Quantification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22758-22807
UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22808-22833
Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22834-22895
Mitigating Bias in Locally Constrained Decoding via Tractable Proposals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22896-22908
Deep Networks Learn Deep Hierarchical Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22909-22936
Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22937-22967
Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:22968-23015
Innovation: An Almost Characterization of Hallucination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23016-23030
Don’t Ignore the Tail: Decoupled Distillation Produces Top Maths Students on an Academic Budget
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23031-23044
Agentic Framework for Epidemiological Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23045-23069
ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23070-23095
You Can Learn Tokenization End-to-End with Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23096-23120
Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23121-23158
Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23159-23178
On the Expressive Power of Permutation-Equivariant Weight-Space Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23179-23249
Variational Inference for Uncertain Optimal Transport via Sinkhorn Parametrization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23250-23268
Generative Inverse Design with Abstention via Diagonal Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23269-23291
Adaptive Memory Retention in Dynamic Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23292-23315
Continual Learning through Control Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23316-23351
SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23352-23379
A Unified Density Operator View of Flow Control and Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23380-23406
Mixture of Concept Bottleneck Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23407-23431
Parametrized Power-Iteration Clustering for Directed Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23432-23455
Multivariate Distributional Reinforcement Learning Using Sliced Divergences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23456-23526
Beyond First-order Asymptotics in Sequential Mean Testing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23527-23561
A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23562-23590
FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23591-23612
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23613-23636
Error Propagation in Dynamic Programming: From Stochastic Control to American Option Pricing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23637-23652
SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23653-23671
PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23672-23696
Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23697-23721
Uncovering Bias Mechanisms in Observational Studies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23722-23758
STORM: Segment, Track, and Object Re-Localization from a Single Image
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23759-23779
BFTS: Thompson Sampling with Bayesian Additive Regression Trees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23780-23829
Condition-Aware Graph Flow Matching for Modeling the Distributions of Complex Fluid Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23830-23852
SWE-Milestone: Evaluating AI Agents on Continuous Software Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23853-23890
Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23891-23916
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23917-23934
DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23935-23952
InteractComp: Evaluating Search Agents With Ambiguous Queries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23953-23972
Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23973-23996
CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:23997-24057
On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24058-24082
Uncertainty-Aware Clarification in LLM Agents with Information Gain
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24083-24102
ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24103-24118
Sparse Topology-Aware Pairwise Scoring for Large-Scale Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24119-24136
Discrete Survival Knowledge Distillation for Competing Risks Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24137-24169
Component-Wise Composite Likelihood Distillation for Censored Time-to-Event Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24170-24190
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24191-24239
Rethinking Video Generation Model for the Embodied World
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24240-24283
A proximal ADMM for multiblock problems with block anti-upper triangular constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24284-24312
GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24313-24333
Discriminative Mixture-of-Experts on Graphs with Reliable Expert Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24334-24351
Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24352-24372
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24373-24406
Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24407-24417
LASER: Learning Active Sensing for Continuum Field Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24418-24443
Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24444-24460
Truthfulness Does Not Scale Like Reasoning: Why Polling Fails as a Proxy Verifier
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24461-24477
Trajectory Stitching for Solving Inverse Problems with Flow-Based Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24478-24499
Separating Representation from Reconstruction Enables Scalable Text Encoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24500-24514
Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24515-24536
Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24537-24575
CoFrGeNet: Continued Fraction Architectures for Language Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24576-24593
Operator Splitting with Hamilton-Jacobi-based Proximals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24594-24621
Detecting Errors in AI-Generated Annotations: When and Why Semantic Neighbors Help
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24622-24653
Probabilistic Retrofitting of Learned Simulators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24654-24701
Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24702-24723
FLIP2: Expanding Protein Fitness Landscape Benchmarks for Real-World Machine Learning Applications
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24724-24777
Split Personality Training: Revealing Latent Knowledge Through Alternate Personalities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24778-24793
Adaptive Protein Tokenization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24794-24816
Listening Through the Noise: Cauchy-Driven Diffusion Bridges for Robust Gastrointestinal Auscultation and Clinical Benchmarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24817-24842
Near-Optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24843-24879
Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24880-24901
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24902-24924
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24925-24941
DDSVM: A Differentiable Framework for Deep Support Vector Machines with Iterative Geometry-Aware Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24942-24959
Understanding Private Learning From Feature Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24960-24996
CSPLoRA: Confidence-Guided Structural Planning for Low-Rank Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:24997-25017
TGPO: Efficient Policy Optimization through Sequence Anchor and Information Gating
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25018-25034
NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25035-25054
Towards Understanding the Dynamics of Low-Rank Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25055-25077
DMCO: Budget-Aware Co-Optimization of Data Cleaning and AutoML
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25078-25095
Learning Self-Correction in Vision–Language Models via Rollout Augmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25096-25113
Learning Gaussian Mixture-distributed Prototypes for 3D Scene Graph Generation from RGB-D Sequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25114-25129
LAVA: A Unified Framework for Finetuning Language and Vision Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25130-25151
Improving Explicit Dynamic Gaussian Splatting Optimization via Update Mixture
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25152-25174
Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25175-25204
AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25205-25221
From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25222-25262
SpeedVFI: One-step Diffusion for Efficient Video Frame Interpolation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25263-25281
Native Spatio-Temporal 4D Variational Autoencoder
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25282-25294
Discriminative Attribute Graph Clustering Through Topology-Guided Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25295-25304
Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25305-25332
Embodied-DETR: End-to-End Temporal 3D Object Detection in Egocentric Views
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25333-25350
COBRA: Contribution-Based Bayesian Rank Allocation for Parameter-Efficient Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25351-25401
Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25402-25419
Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25420-25450
How Reasoning Evolves from Post-Training Data: An Empirical Study Using Chess
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25451-25482
Probing the Inductive Bias of Neural Networks through Learning Random Cellular Automata
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25483-25509
Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25510-25533
FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25534-25566
Eigenvectors of Experts are Training-free Non-collapsing Routers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25567-25590
Rethinking Sparse Mixture of Experts from a Unified Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25591-25625
The Fisher Dimension: Instance-Dependent Complexity for Causal Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25626-25642
Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25643-25694
INDEXGUARD: Index-only Backdoor Vetting for Secure Federated PEFT of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25695-25719
Universal Learning of Nonlinear Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25720-25762
Identifying Partially Observed Causal Models from Heterogeneous/Nonstationary Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25763-25787
Probing RLVR Training Instability through the Lens of Objective-Level Hacking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25788-25809
SafeSearch: Automated Red-Teaming of LLM-Based Search Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25810-25855
TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25856-25876
Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25877-25899
How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25900-25921
HybridFlow: Resource-Adaptive Subtask Routing for Efficient Edge-Cloud LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25922-25943
ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25944-25963
PolarDepth: Monocular Transparent Object Depth from Polar-Physics Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25964-25979
Romberg-Extrapolated Zeroth-Order Gradient Estimator: Higher-Order Bias Reduction with Preserved Leading Directional Variance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:25980-26006
TurboGS: Accelerating 3D Gaussian Splatting via Error-Guided Sparse Pixel Sampling and Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26007-26025
RePack then Refine: Efficient Diffusion Transformers with Vision Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26026-26050
Mean Flow Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26051-26074
Algorithmic Recourse of In-Context Learning for Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26075-26098
Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26099-26126
Bits That Count: Quantifying and Predicting Capabilities of Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26127-26151
Q-Flow: Stable and Expressive Reinforcement Learning with Flow-based Policy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26152-26178
Rare Event Analysis of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26179-26201
Why ReLU? A Bit-Model Dichotomy for Deep Network Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26202-26226
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26227-26249
DNA: Uncovering Universal Latent Forgery Knowledge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26250-26268
Plan Then Action: High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26269-26290
Conformal Calibration Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26291-26318
Fast kernel methods: Sobolev, physics-informed, and additive models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26319-26340
Watermarking Graph Neural Networks via Explanations for Ownership Protection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26341-26364
Online Compatible Reward Identification from Preference Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26365-26389
Chiral Symmetry Breaking in Transformers: A Group-Equivariant Framework for Addressing the Reversal Curse via Adjoint Manifold Mappings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26390-26410
Stabilizing PPO via Latent-Space Regularization and KDE-Driven Exploration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26411-26442
AesFormer: Transform Everyday Photos into Beautiful Memories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26443-26453
FedEMoE: Improving Personalization on Heterogeneous Federated Learning via Elastic Mixture of Experts Architecture
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26454-26479
Which Heads Matter for Reasoning? RL-Guided KV Cache Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26480-26500
BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26501-26528
Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26529-26551
MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Well-Tempered Metadynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26552-26580
Sparse Autoencoders for Interpretable Emotion Control in Text-to-Speech
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26581-26601
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26602-26623
$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26624-26648
ProtocolBench: Which LLM MultiAgent Protocol to Choose?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26649-26695
Escaping Mode Collapse in LLM Generation via Geometric Regulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26696-26714
Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26715-26742
From Distribution to Geometry: Stable Graph Generalization via Invariant Barycenters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26743-26762
IEC: When Information-Driven Exploration Meets Spectral Consensus via Primal–Dual Reward Regularization in Decentralized MARL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26763-26796
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26797-26832
Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26833-26850
Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26851-26885
Unlocking Speech–Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26886-26903
On the Difficulty of Learning a Meta-network for Training Data Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26904-26948
MobileFusion: Mobile-Friendly Infrared and Visible Image Fusion via Structural Re-parameterization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26949-26964
"very likely" Means "uncertain"? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26965-26989
Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:26990-27011
SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27012-27027
Discontinuous Galerkin Neural Operator for Pathology Defocus Deblurring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27028-27044
(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27045-27068
CoCoQuant: Breaking the Bandwidth Wall via Co-Optimized Communication and Computation Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27069-27088
Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27089-27119
Quantifying Biases in LLM-as-a-Judge Evaluations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27120-27135
A General Framework for Dynamic Consistent Submodular Maximization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27136-27151
MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27152-27200
Tightening the Score Matching Gap for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27201-27236
CHB: A Diagnostic Toolkit for Hardness-Aware Clustering Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27237-27280
Mixtures Closest To A Given Measure: A Semidefinite Programming Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27281-27303
HOBIT: Hardness Optimized Batch Sampling for InfoNCE Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27304-27329
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27330-27378
LUCID: Attention with Preconditioned Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27379-27400
FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27401-27451
Variational Entropic Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27452-27476
Derivative Informed Learning of Exchange-Correlation Functionals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27477-27502
Commit to the Bit: Reactive Reinforcement Learning Done Right
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27503-27520
Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27521-27549
On the "Induction Bias" in Sequence Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27550-27568
Unlearning Isn’t Forgetting: Revealing Hidden Leakage in Class Unlearning Evaluations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27569-27593
From Welfare to Utility: Generalized Objectives in Budget-Feasible Procurement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27594-27626
Moment Matching Q-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27627-27649
Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27650-27687
ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27688-27719
Learning Permutation from Structure Without Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27720-27740
Relational Structural Causal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27741-27793
Learning Treatment Allocations with Risk Control Under Partial Identifiability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27794-27808
Revisiting Efficiency–Accuracy Scaling in Mixture-of-Experts Architectures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27809-27821
MAD: Manifold Attracted Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27822-27843
Don’t Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27844-27860
TSP with Predictions: Heatmap to Tour with Provable Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27861-27890
Graph Neural Dynamics via Learned Energy and Tangential Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27891-27917
ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27918-27938
Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27939-27965
Training LLM Agents to Empower Humans
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27966-27991
Global Plane Waves from Local Gaussians: Periodic Charge Densities in a Blink
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:27992-28020
Rank-Aware Spectral Bounds on Attention Logits for Stable Low-Precision Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28021-28039
Solving Positive Linear Programs with Differential Privacy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28040-28057
Keeping a Secret Requires a Good Memory: Unconditional Streaming Lower-Bounds for Differentially Private Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28058-28070
Learning Randomized Reductions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28071-28148
GraphPFN: A Prior-Data Fitted Graph Foundation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28149-28165
Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28166-28186
When Softmax Fails at the Top: Extreme-Value Corrections for InfoNCE
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28187-28211
Evaluating Robustness of Reasoning Models on Parameterized Logical Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28212-28236
When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28237-28284
Spectrally-Guided Diffusion Noise Schedules
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28285-28304
Automatic Construction of Clinical Scoring Systems with LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28305-28344
CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28345-28381
Width Independent Bounds for the Local Lipschitz Constant of Deep Neural Networks at Random Initialization and after Lazy Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28382-28410
Entropy-informed Decoding: Adaptive Information-Driven Branching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28411-28432
Theory of Minimal Weight Perturbations in Deep Networks and its Applications for Low-Rank Activated Backdoor Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28433-28462
Stochastic Linear Bandits with Parameter Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28463-28491
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28492-28527
Robust Bayesian Optimisation with Unbounded Corruptions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28528-28565
BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28566-28583
Understanding Data Temporality Impact on Large Language Models Pre-training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28584-28606
The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28607-28644
Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28645-28664
Local Policies for Graph-Structured Markov Decision Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28665-28689
Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28690-28725
NAVIGATE: Evaluating Visual-Guided Search Decision-Making on the Open Web
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28726-28746
Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28747-28767
Graph-Preference Learning: Debiasing Network-Sampled Human Feedback for Target Welfare Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28768-28801
ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28802-28823
Uncovering the Gradient Geometry of Long CoT: A Spectral-guided Approach to Reasoning Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28824-28837
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28838-28882
De4D-SLAM: Gradient-Isolated Static-Dynamic Decoupling for Monocular SLAM in Dynamic Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28883-28903
Rethinking Time-Series Imputation as Conditional Inference along Temporal Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28904-28931
TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28932-28959
Navigating the Pareto Frontier of Alignment: Spectrum-Adaptive Fine-Tuning for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28960-28983
NExT-Guard: Streaming Safeguard without Token-Level Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:28984-29000
Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29001-29014
SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29015-29028
Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29029-29059
Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29060-29092
Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29093-29131
MC-HNN: Learning Latent Structural Semantics and High-Rank Representations for Hypergraph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29132-29146
OMP: One-step Meanflow Policy with Directional Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29147-29166
MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29167-29187
PRM-PBE: Process Reward Model for Reinforcement Learning in Programming-by-Example
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29188-29200
LOZO+: Provably Efficient Zeroth-Order Fine-Tuning via Greedy Low-Rank Subspace Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29201-29221
iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29222-29255
Information Geometry Loss for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29256-29283
Trajectory-Aware Spiking DiTs Conversion via Membrane Potential Error-Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29284-29297
Event2Vec: Processing neuromorphic events directly by representations in vector space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29298-29317
Dynamic Fractal Mamba: A Neural Renormalization Group Flow for Scale-Invariant Sequence Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29318-29346
VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29347-29377
Sparse Tokens Suffice: Jailbreaking Audio Language Models via Token-Aware Gradient Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29378-29398
Real Data Lies: Unveiling and Closing the Quality Shortcut in Generalizable AI-Generated Video Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29399-29416
ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29417-29446
BIOARC: Discovering Optimal Neural Architectures for Biological Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29447-29482
Decoupled Low-Rank Adaptation for Robust Federated Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29483-29498
Artificial Hippocampus Networks for Efficient Long-Context Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29499-29518
Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29519-29547
Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29548-29590
StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29591-29600
Compositional Planning with Jumpy World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29601-29637
Enhancing Conformal Prediction via Class Similarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29638-29656
Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29657-29673
Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29674-29699
$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29700-29733
COFT: Counterfactual–Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29734-29763
Dissecting Quantization Error: A Concentration-Alignment Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29764-29778
Clustering in Deep Stochastic Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29779-29803
Learning Interpretable Options by Identifying Reward Diffusion Bottlenecks in Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29804-29832
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29833-29861
One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29862-29896
Efficient privacy loss accounting for subsampling and random allocation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29897-29929
Distributionally Robust Causal Abstractions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29930-29980
Optimal Self-Consistency for Efficient Reasoning with Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:29981-30005
LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30006-30025
SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30026-30039
WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30040-30065
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30066-30087
Leveraging Machine Unlearning for Cost-Efficient Preference Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30088-30114
Explainable Forensics of Manipulated Segments in Untrimmed Long Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30115-30131
Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30132-30155
ExpWeaver: LLM Agents Learn from Experience via Latent RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30156-30220
CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30221-30246
Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30247-30289
Convex Optimization for Alignment and Preference Learning on a Single GPU
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30290-30320
Multimodal Nested Learning for Decoupled and Coordinated Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30321-30341
Knowledge Diversion for Efficient Morphology Control and Policy Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30342-30358
Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30359-30378
Convex Low-resource Accent-Robust Language Detection in Speech Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30379-30399
Offline Reinforcement Learning with Generative Trajectory Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30400-30425
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30426-30438
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30439-30469
Fast-SAM3D: 3Dfy Anything in Images but Faster
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30470-30489
Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30490-30509
DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30510-30530
Bridging RGB and RAW: Single-step Deterministic Flow with Homogeneous Representation Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30531-30551
See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30552-30578
Lookahead-GCG: Improving Universal Multi-Model Optimization-Based Jailbreaking Attacks via Stochastic Nesterov Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30579-30592
Self-correcting for Debiasing Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30593-30615
Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30616-30641
Demystifying Action Space Design for Robotic Manipulation Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30642-30663
Enhancing Train-Free Infinite-Frame Generation for Consistent Long Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30664-30691
Mantis: Lightweight Foundation Model for Time Series Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30692-30719
Softsign: Smooth Sign in Your Optimizer For Better Parameter Heterogeneity Handling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30720-30746
Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30747-30769
L2G-NET: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30770-30798
How Good is Post-Hoc Watermarking With Language Model Rephrasing?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30799-30824
Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30825-30860
CLASP: Online learning algorithms for Convex Losses And Squared Penalties
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30861-30878
Exact Functional ANOVA Decomposition for Categorical Inputs Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30879-30896
Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30897-30935
Evaluating Relational Reasoning in LLMs with REL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30936-30967
Unitary Convolutions for Message-passing and Positional Encodings on Directed Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30968-30991
Learning to Execute Graph Algorithms Exactly with Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:30992-31124
RAPNet: Accelerating Algebraic Multigrid with Learned Sparse Corrections
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31125-31145
Learning to Share: Selective Memory for Efficient Parallel Agentic Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31146-31160
Understanding Truncated Positional Encodings for Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31161-31188
On the Anisotropy of Score-Based Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31189-31202
GenCircuit-RL: Reinforcement Learning from Hierarchical Verification for Genetic Circuit Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31203-31283
Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31284-31328
On Efficient Scaling of GNNs via IO-Aware Layers Implementations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31329-31376
Is Graph Mixup Beneficial? Investigating Interpolation And Empirical Performance of Graph Mixup Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31377-31410
Mixing Expertise with Confidence: A Mixture of Experts Framework for Robust Multi-Modal Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31411-31436
LINGUA: Bridging the Grounding Gap in VideoQA via Typed Memory and Belief-State Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31437-31490
Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31491-31521
Singular Vectors of Attention Heads Align with Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31522-31552
Complexity Bounds for Dirichlet Process Slice Samplers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31553-31574
Nonparametric LLM Evaluation from Preference Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31575-31617
Symbol-Equivariant Recurrent Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31618-31636
Learning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31637-31668
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31669-31702
Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31703-31725
CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31726-31755
FlowMAP: Flow Matching for Generalizable Agent Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31756-31771
MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual Knowledge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31772-31792
A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31793-31814
Multimodal Function Vectors for Visual Relations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31815-31832
Cure-SFT: Diagnostic-Guided Data Curation for Instruction Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31833-31853
Nonconvex Low-Rank Tensor Representation with Deep Priors for Multiview Subspace Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31854-31876
From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31877-31896
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31897-31940
Rethinking LLM Ensembling from the Perspective of Mixture Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31941-31952
HPS: Hyperspherical Parameter Sharing for Efficient Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31953-31976
CODiff: One-Step Diffusion Model for Camouflaged Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31977-31991
Hierarchical Procedural Meta-Reasoning for Generalizable Multimodal Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:31992-32008
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32009-32039
Dual Optimal Transport for Multi-Concept Composition: Structure Alignment and Texture Injection in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32040-32052
ObjEmbed: Towards Universal Multimodal Object Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32053-32072
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32073-32086
Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32087-32102
VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32103-32128
Think-at-Hard: Dynamic Looped Transformers for Improved Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32129-32154
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32155-32212
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32213-32230
Noise-Robust Density Estimation for Tabular Data Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32231-32263
StableVLA: Towards Robust Vision-Language-Action Models without Extra Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32264-32283
Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32284-32294
RAMAC: Multimodal Risk-Aware Offline Reinforcement Learning and the Role of Behavior Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32295-32324
Self-Soupervision: Cooking Model Soups without Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32325-32340
An Odd Estimator for Shapley Values
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32341-32365
Approximation Theory for Lipschitz Continuous Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32366-32383
Information-Theoretic Generalization Bounds for VAEs: A Role of Encoder and Latent Variable
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32384-32440
PCA of Probability Measures: Sparse and Dense Sampling Regimes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32441-32477
Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32478-32514
Ensembling Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32515-32541
The Cost of Learning Under Multiple Change Points
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32542-32580
Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32581-32613
Demystifying Entropy Control in LLM RL Training: Theoretical Analysis and Dynamic Scheduling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32614-32639
Feature-Aware (Hyper)graph Generation via Next-Scale Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32640-32674
MidSteer: Optimal Affine Framework for Steering Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32675-32741
Flatland: The Adventures of Gradient Descent with Large Step Sizes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32742-32813
Physics-Informed Diffusion Models in Spectral Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32814-32831
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32832-32859
SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32860-32875
Caracal: Causal Architecture via Spectral Mixing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32876-32895
Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32896-32916
PPT-Eval: A Benchmark for Computer-Use Agents on PowerPoint Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32917-32957
Gateways to Tractability for Satisfiability in Pearl’s Causal Hierarchy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32958-32968
SuperHype: Hypergraph Generation via Graph-Superposition Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32969-32993
EntroKV: Entropy-Guided Dynamic Budget Allocation for KV-Cache Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:32994-33018
The First Drop of Ink: Nonlinear Impact of Distracting Information in Long-Context Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33019-33038
Salus: Strategic Diagnostic Testing for Complex Diagnosis via Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33039-33068
One-shot Entropy Minimization for Language Model Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33069-33080
Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33081-33101
Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33102-33117
FakeWorld 1.0: An Omni-modal Benchmark for Fake Media and Content
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33118-33137
InstEmb: Instruction-Following Embeddings through Glimpses of the Future
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33138-33150
Causal-EPIG: Causally Aligned Active CATE Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33151-33183
Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33184-33213
On the Fragility of Data Attribution When Learning Is Distributed
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33214-33234
EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33235-33269
DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33270-33284
Segment-Aligned Policy Optimization for Multi-Modal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33285-33299
Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33300-33316
Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33317-33339
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33340-33366
AD-BTS: Adaptive Dual-Branch Token Sparsification via Spatial Information Density
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33367-33384
MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33385-33403
Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33404-33428
Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33429-33459
Scaling the Prior: Size-Consistent Geometric Diffusion for 3D Molecular Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33460-33482
Weight-sparse transformers have interpretable circuits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33483-33513
(1D) Ordered Tokens Enable Efficient Test-Time Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33514-33557
Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33558-33591
Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33592-33631
Conformal Reliability: A New Evaluation Metric for Conditional Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33632-33658
Optimal structure learning and conditional independence testing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33659-33686
One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33687-33702
ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33703-33723
Differentially Private Preference Data Synthesis for Large Language Model Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33724-33749
FiRE: Fine-grained Ranking Evaluation for Machine Translation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33750-33774
Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33775-33798
Inference from Quantized Data via Normal Variance-Mean Mixtures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33799-33825
GKD-Recruiter: Jointly Modeling Social and Task Heterogeneity for Spatial Crowdsourcing via Graph Knowledge Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33826-33840
Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33841-33878
Decentralized Bandits without Global Clock for Dynamic Matching Market
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33879-33924
The Cylindrical Representation Hypothesis for Language Model Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33925-33952
DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33953-33984
MFH-NAS:A Hybrid Neural Architecture Search Framework for Multimodal Fusion Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33985-33996
TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:33997-34014
Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34015-34029
DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34030-34047
Beyond Pixel Histories: World Models with Persistent 3D State
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34048-34070
Mesh Based Simulations with Spatial and Temporal awareness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34071-34091
Biased Generalization in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34092-34112
Learning Latent Action World Models in the Wild
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34113-34150
The Implicit Bias of Depth: From Neural Collapse to Softmax Codes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34151-34196
Unifying Low Dimensional Spectra in Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34197-34241
High-accuracy and dimension-free sampling with diffusions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34242-34274
Principled Confidence Estimation for Deep Computed Tomography
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34275-34298
Learning Coherent Representations: A Topological Approach to Interpretability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34299-34333
Anytime Detection of Strategic Deviations in Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34334-34374
Sampling and Identity-Testing Without Approximate Tensorization of Entropy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34375-34392
Dyn-VPP: Video Prediction Policy Optimization for Improved Visual Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34393-34406
Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34407-34417
A robust PPG foundation model using multimodal physiological supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34418-34441
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34442-34462
Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34463-34495
Online Packet Scheduling with Deadlines and Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34496-34523
RelayCaching: Accelerating LLM Collaboration via Decoding KV Cache Reuse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34524-34543
Latent-Guided Cooperative Energy-Based Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34544-34566
Bridging the Stability-Expressivity Gap: Synthetic Data Scaling and Preference Alignment for Low-Resource Spoken Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34567-34587
Analytic Bijections for Smooth and Interpretable Normalizing Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34588-34610
DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34611-34638
Calibrated Test-Time Guidance for Bayesian Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34639-34666
Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34667-34682
BAT: Better Audio Transformer Guided by Convex Gated Probing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34683-34697
"Do Diffusion Models Dream of Electric Planes?" Discrete and Continuous Simulation-Based Inference for Aircraft Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34698-34727
Safety Recovery in Reasoning Models Is Only a Few Early Steering Steps Away
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34728-34749
Online Robust Reinforcement Learning with General Function Approximation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34750-34789
CLINIC : Evaluating Multilingual Trustworthiness in Language Models for Healthcare
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34790-34840
Hard labels sampled from sparse targets mislead rotation invariant algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34841-34883
On the Role of Computation in Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34884-34898
Projection-Free Algorithms for Minimax Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34899-34960
GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34961-34995
Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:34996-35064
Efficient Test-time Inference for Generative Planning Models with OCL Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35065-35099
Impact of Connectivity on Laplacian Representations in Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35100-35131
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35132-35153
Sparse Autoencoders are Topic Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35154-35175
Improved Stochastic Optimization of LogSumExp
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35176-35196
Memory-Efficient LLM Pretraining via Minimalist Optimizer Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35197-35226
Scalable Simulation-Based Model Inference with Test-Time Complexity Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35227-35268
Efficient Training-Free Multi-Token Prediction via Embedding-Space Probing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35269-35290
Training AI Co-Scientists Using Rubric Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35291-35406
ePC: Fast and Deep Predictive Coding in Digital Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35407-35442
HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35443-35466
Torus Graphs for Large Scale Neural Phase Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35467-35489
Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture – Bridging Predictive and Generative Self-Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35490-35513
Multimodal Scaling Laws for Task & Data-Optimized Models of Visual Cortex
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35514-35571
Optimal Top-$k$ Identification from Pairwise Comparisons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35572-35599
Procedural Generation Of Algorithm Discovery Tasks in Machine Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35600-35715
Knowing Who, Not How Much: Learning-Augmented Mechanisms for Consumer Utility Maximization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35716-35739
A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35740-35765
Equivalence of Context and Parameter Updates in Modern Transformer Blocks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35766-35790
Compact Conformal Subgraphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35791-35810
Identifying Common Hubs in Multiple Gaussian Graphical Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35811-35835
AdaSplash-2: Faster Differentiable Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35836-35861
VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35862-35887
Twins: Learn to Predict Unified Representations with Focal Loss
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35888-35902
Scaling Transformers for End-to-End Discrete Audio Tokenization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35903-35924
Curriculum Reinforcement Learning for Black-Box Prompt Tuning via Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35925-35942
LLM-Guided Loop Bound Generation for Program Termination Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35943-35957
Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35958-35975
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35976-35991
D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:35992-36012
The Cost of Information: Phase Transitions in Contextual Bandits with Paid Observations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36013-36044
Light Up Your Face: A Physically Consistent Dataset and Diffusion Model for Face Fill-Light Enhancement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36045-36055
QEDBench: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36056-36179
FlashOptim: Optimizers for Memory-Efficient Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36180-36196
Decoupling The "What" and "Where" With Polar Coordinate Positional Embedding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36197-36214
The Differences Between Direct Alignment Algorithms are a Blur
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36215-36246
Towards Spectroscopy: Susceptibility Clusters in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36247-36314
LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36315-36346
TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36347-36368
The Illusion of Generalization in Tabular Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36369-36396
Certifying Graph Neural Networks Against Label and Structure Poisoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36397-36422
Byte Pair Encoding for Efficient Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36423-36454
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36455-36503
Categorical Reparameterization with Denoising Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36504-36537
Contextual Slate GLM Bandits with Limited Adaptivity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36538-36583
FlowState: Sampling-Rate-Equivariant Time-Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36584-36609
Safety-Efficacy Trade Off: Robustness against Data-Poisoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36610-36628
Multi-marginal temporal Schrödinger Bridge Matching from unpaired data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36629-36651
GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36652-36670
Fast and Expressive Multi-Byte Prediction with Probabilistic Circuits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36671-36704
Approximating Drift-Diffusion Models for User Decisions under Nudging and External Information
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36705-36723
Revisiting the Platonic Representation Hypothesis: An Aristotelian View
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36724-36766
The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36767-36811
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36812-36833
Feedback Control for Multi-Objective Graph Self-Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36834-36867
Text Has Curvature
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36868-36904
Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36905-36941
SARL: Structure-Aligned Reinforcement Learning for Bridging the Perception-Action Gap in Airspace
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36942-36959
CSG: Cognitive Structure Generation for Intelligent Education
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36960-36980
TileQ: Efficient Low-Rank Quantization of Mixture-of-Experts with 2D Tiling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:36981-37010
Temporal Weighted Encoding: Towards Maximal-Capacity Spike Coding for ANN–SNN Conversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37011-37025
Mirror Mean-Field Langevin Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37026-37046
Mitigating Noise-Induced Layout Priors for Object Counting in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37047-37072
What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37073-37109
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37110-37136
Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37137-37157
Precision-Induced Miscalibration: Understanding and Correcting Confidence Distortion in Quantized Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37158-37194
Detecting the Semantic Fixed Point: A Geometric Framework for Efficient Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37195-37228
Anytime-Valid Inference for Online Ranking of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37229-37260
R$^3$L: Reasoning 3D Layouts from Relative Spatial Relations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37261-37291
Parameter-Masked Decoupled Optimization for Cross-Domain Class-Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37292-37307
From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37308-37325
Power-Boosted Granger-Causal Discovery for Large Heterogeneous Panel Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37326-37359
Ekka: Automated Diagnosis of Silent Errors in LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37360-37375
What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37376-37394
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37395-37416
VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37417-37433
From Content to Knowledge: Lightning Fast Long-Video Understanding with Neural Knowledge Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37434-37456
TritonGym: A Benchmark for Agentic LLM Workflows in Triton GPU Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37457-37473
TimeOmni-VL: Unified Models for Time Series Understanding and Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37474-37503
LIMMT: Less Is More for Motion Tracking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37504-37517
Bridging Tokens and Geometry: Token-wise 3D Supervision for CAD Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37518-37537
Monitoring Monitorability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37538-37602
MOC: Multi-Order Communication in LLM-based Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37603-37619
Federated Multi-view Clustering for Remote Sensing Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37620-37630
On the Coordination of Value-Maximizing Bidders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37631-37656
ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37657-37679
Short Chains, Deep Thoughts: Balancing Reasoning Efficiency and Intra-Segment Capability via Split-Merge Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37680-37699
Finite-Width Neural Tangent Kernels from Feynman Diagrams
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37700-37752
MASH: Modeling Abstention via Selective Help-Seeking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37753-37778
PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37779-37816
SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37817-37849
Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37850-37869
MutAtlas: A PDB-Wide Energy-Guided Atlas of Protein Mutation Effects
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37870-37886
Delving into Non-Exchangeability for Conformal Prediction in Graph-Structured Multivariate Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37887-37908
Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37909-37939
PolicyGuard: Towards Test-time and Step-level Adversary Defense for Reinforcement Learning Agent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37940-37960
Constrained Bayesian Experimental Design via Online Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37961-37984
Probabilistic Salient Object Ranking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37985-37997
VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:37998-38011
Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38012-38051
Are Your Agents Upward Deceivers?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38052-38092
Reflex: Real-Time Vision-Language-Action Control through Streaming Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38093-38108
FedPAT: Federated Test-Time Adaptation via Prototype Affinity Topology
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38109-38130
Axiomatic Atlas: A Prescriptive Framework for Neural Architecture Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38131-38212
BlueCodeAgent: A Blue Teaming Agent Powered by Automated Red Teaming for CodeGen AI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38213-38234
CCLRec: Consensus-driven Contrastive Learning for LLM-enhanced Graph Recommendation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38235-38247
CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38248-38264
RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38265-38282
Sample Margin-Aware Recalibration of Temperature Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38283-38315
GRASP: Graph Reasoning via Agentic Solving and Probing of LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38316-38336
Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38337-38355
Learning to Route Languages for Multilingual Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38356-38378
On the Salience of Low-Probability Tokens for AI-Generated Text Detection: A Multiscale Uncertainty Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38379-38399
No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38400-38425
Fine-Tune Once, Reuse Across Models: Bayesian Task-Update Factors and Approximations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38426-38446
DRPBench: Evaluating LLMs in Concurrent Code Comprehension via Fine-Grained Data Race Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38447-38470
MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38471-38495
The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38496-38533
X-EviProbe: Post-hoc Parameter-Free Evidential Uncertainty Quantification for Frozen Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38534-38561
WildActor: Unconstrained Identity-Preserving Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38562-38575
CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38576-38595
DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38596-38613
OmniAID: Decoupling Semantics and Artifacts for Universal AI-Generated Image Detection in the Wild
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38614-38641
BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38642-38676
Remove the Ambiguity: Few-shot Multimodal Anomaly Detection Using Crossmodal Feature Replacer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38677-38700
ImpText: A Benchmark and Tool-Augmented Framework for Implicit Text Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38701-38719
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38720-38745
Discrete Adjoint Schrödinger Bridge Sampler
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38746-38776
Adaptive Code Watermarking Through Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38777-38793
Incomplete Multi-View Clustering via Neighborhood-Conditioned Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38794-38808
Geometry-Aware Neural Optimizer for Shape Optimization and Inversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38809-38844
Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38845-38871
Adapting to Evolving Graphs: A Scalable Framework for Dynamic Coarsening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38872-38907
Hierarchical Retrieval at Scale: Bridging Interpretability and Efficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38908-38943
ScreenParse: Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38944-38973
FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38974-38993
BiRQA: Bidirectional Robust Quality Assessment for Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:38994-39012
Constrained Flow Optimization via Sequential Fine-Tuning for Molecular Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39013-39035
Fourier Features Let Agents Learn High Precision Policies with Imitation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39036-39059
Front-Loaded Robust Conformal Prediction: Heavy Calibration, Minimal Test-Time Cost
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39060-39079
Beyond Correctness: Distance-Based Social Dynamics of Multi-Agent Debate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39080-39107
Unlearning’s Blind Spots: Over-Unlearning and Prototypical Relearning Attack
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39108-39126
Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39127-39155
Geodesic Flow Matching for Denoising High-Dimensional Structured Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39156-39165
GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39166-39228
Forward-KL Convergence of Time-Inhomogeneous Langevin Diffusions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39229-39265
Target-Aware Bandit Allocation for Scalable Surrogate Optimization in Chemical Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39266-39290
Hierarchical Image Tokenization for Multi-Scale Image Super Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39291-39305
Architecture Matters for Multi-Agent Security
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39306-39329
Formalizing and Falsifying Causal Pathways of Rare Events
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39330-39355
Pluralistic Leaderboards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39356-39375
SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer-based Surrogate Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39376-39420
Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39421-39450
Towards Fine-Grained Robustness: Attention-Guided Test-Time Prompt Tuning for Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39451-39467
Lower Bounds for Frank-Wolfe on Strongly Convex Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39468-39494
Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39495-39518
Jailbreak to Protect: Buffering and Reinforcing via Temporary Jailbreaking for Safe Fine-Tuning in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39519-39538
Maximin Relative Improvement: Fair Learning as a Bargaining Problem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39539-39570
Weight Decay Improves Language Model Plasticity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39571-39602
Bridging Local–Global Dissonance: Learning from Compressive Measurements for Hyperspectral Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39603-39621
TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39622-39643
Revealing Long-context Potential of Attention Heads via Frequency Kernels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39644-39654
Learning Permutation-invariant Macroscopic Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39655-39671
Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39672-39690
EGG: An Expert-Guided Agent Framework for Kernel Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39691-39720
Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39721-39745
Expert-level Leaf Cell Layout Generation via Preference-Optimized LLM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39746-39760
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39761-39778
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39779-39821
DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39822-39866
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39867-39903
ForceForget: Reinforcement Concept Removal for Enhancing Safety in Text-to-Image Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39904-39921
Bring Future Vision: Dynamic Computation Allocation Guided by Lightweight Feature Forecaster
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39922-39934
Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:39935-40020
MRPO: Magnitude-Regularized Policy Optimization via L1 Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40021-40043
ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40044-40064
GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40065-40083
MusicDET: Zero-Shot AI-Generated Music Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40084-40097
Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40098-40132
Optimal Pricing for Data-Augmented AutoML Marketplaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40133-40149
$\textttMetaDistill$: Unlocking the Performance Ceiling for Pretrained Optimizers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40150-40188
Veda: Scalable Video Diffusion via Distilled Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40189-40205
Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40206-40240
Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40241-40251
Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40252-40268
Omni-Perception Policy Optimization for Multimodal Emotion Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40269-40294
The Entropic Signature of Class Speciation in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40295-40326
Language Generation with Feedback: Queries and Mistakes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40327-40352
Universal Multiclass Transductive Online Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40353-40377
When More Data Doesn’t Help: Limits of Adaptation in Multitask Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40378-40404
ViTok-v2: Scaling Native Resolution Autoencoders to 5 Billion Parameters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40405-40419
SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40420-40477
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40478-40498
RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40499-40524
Hyperbolic Associative Memory Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40525-40569
AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40570-40613
On the Optimization Trajectory of DeepWalk Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40614-40653
Skip-It? Theoretical Conditions for Layer Skipping in Vision–Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40654-40687
Geodesic Calculus on Implicitly Defined Latent Manifolds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40688-40710
Unsupervised Hierarchical Skill Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40711-40737
Exact and Approximate Algorithms for Polytree Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40738-40747
Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40748-40771
No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40772-40790
Spectral Flow Matching: Stabilizing Stochastic GFlowNets via Frequency-Domain Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40791-40814
From Feasible to Practical: Pareto-Optimal Synthesis Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40815-40835
Bottleneck Communication Delay Minimization for Communication-Efficient Decentralized Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40836-40876
Effective Distillation to Hybrid xLSTM Architectures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40877-40909
Flow Sampling : Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40910-40932
The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40933-40950
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40951-40998
Sampling from Your Language Model One Byte at a Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:40999-41026
Strategic Candidacy in Generative AI Arenas
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41027-41057
OPIC: Enhancing Language Model Merging via Optimizing In-Context Capability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41058-41074
Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41075-41093
VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41094-41124
PGS: Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41125-41150
DR$^2$Seg: Decomposed Two-Stage Rollouts for Efficient Reasoning Segmentation in Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41151-41171
Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41172-41194
Self-Prophetic Decoding to Unlock Visual Search in LVLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41195-41211
Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41212-41243
Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41244-41271
Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41272-41289
Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41290-41342
Structure-Centric Graph Foundation Model via Geometric Bases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41343-41367
Navigating the Flatlands: Dual Adaptive Sharpness-Aware Minimization for Domain Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41368-41392
Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41393-41415
Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41416-41442
FedPissa: Towards Federated Personalized Adaptation of Foundation Models via LoRA Subspace Mapping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41443-41457
The Accumulation of Score Estimation Error in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41458-41478
Efficient Multi-round LLM Inference over Disaggregated Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41479-41493
DSGCR: Decomposed Spectral Geometry-Aware Cross-Modal Semantic Representation for 3D Visual Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41494-41505
Approximation Error Upper and Lower Bounds for Hölder Class with Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41506-41536
Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41537-41556
HyMTRL: A Hybrid Multi-Task Reinforcement Learning Framework via Phased Policy Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41557-41572
Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41573-41601
Can LLMs Reason Structurally? Benchmarking via the lens of Data Structures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41602-41650
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41651-41666
LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41667-41679
Doubly Regularized Markov Decision Processes for Robust Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41680-41728
Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41729-41752
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41753-41783
Newton-coupled Dual-Teacher Semi-supervised Learning Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41784-41799
Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41800-41825
GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41826-41846
Demystifying When Pruning Works via Representation Hierarchies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41847-41870
Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41871-41895
Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41896-41911
Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41912-41945
One LR Doesn’t Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41946-41960
CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41961-41974
Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:41975-42005
Bend the Basics: Degradation-Aware Deformable Tokenization for All-in-One Image Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42006-42021
Motion Dynamics Learning for Few-Shot Embodied Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42022-42046
RLSF-V: Mitigating Hallucinations in MLLMs via Fuzzy Semantic Self-Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42047-42071
FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42072-42100
On Stable Long-Form Generation: Benchmarking and Mitigating Length Volatility
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42101-42145
ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42146-42195
A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42196-42214
From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42215-42241
RSAgent: Learning to Reason and Act via Multi-Turn Tool Invocations for Text-Guided Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42242-42266
Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42267-42279
Learning Permutation Distributions via Reflected Diffusion on Ranks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42280-42297
MMPD-Bench: Bridging Multimodal Fission with Multi-Polarimetric Modalities Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42298-42333
A Flat Vocabulary or a Rich Hierarchy? Re-introducing Intrinsic Structure Transforms the Autoregressive Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42334-42351
IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42352-42396
Optimizing Network Simulation: Enhancing Performance Prediction Accuracy via Neural Architecture Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42397-42413
Joint-Space Empowerment for Dexterous Coordination in Tendon-Driven Hands
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42414-42438
SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42439-42458
Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42459-42480
Neural Feature Geometry Evolves as Discrete Ricci Flow
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42481-42515
TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42516-42549
From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42550-42662
RADIO1D: Elastic Representations for Condensed Vision Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42663-42690
Query-efficient model evaluation using cached responses
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42691-42706
Score Based Error Correcting Code Decoder
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42707-42721
Scalable Option Learning in High-Throughput Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42722-42761
What Linear Probes Miss: Multi-View Probing for Weight-Space Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42762-42780
The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42781-42820
Security–Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42821-42854
Locally Coherent Parallel Decoding in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42855-42879
What is Missing? Explaining Neurons Activated by Absent Concepts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42880-42900
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42901-42945
Factored Gossip DiLoCo: Reducing Blocking Communication in DiLoCo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42946-42967
Steer Like the LLM: Activation Steering that Mimics Prompting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42968-42997
SONAR: Spectral-Contrastive Audio Residuals for Generalizable Deepfake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:42998-43012
A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43013-43094
Ambiguous Strategic Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43095-43114
Modelling Attention with Aitchison Geometry: Token Distinguishability and Temperature Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43115-43142
Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43143-43169
Denoising without Diffusion: Fixed-Noise Denoiser Anomaly Detection in Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43170-43208
Differentiable Conformal Training for LLM Reasoning Factuality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43209-43238
Ultrafast On-Chip Online Learning via Spline Locality in Kolmogorov–Arnold Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43239-43256
The Abstraction Gap in Vision-Language Causal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43257-43299
DualCOIL: Offline Imitation Learning from Contrasting Demonstrations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43300-43335
SpecMD: A Comprehensive Study On Speculative Expert Prefetching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43336-43350
The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43351-43387
The Optimal Sample Complexity of Linear Contracts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43388-43400
Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43401-43435
Open Materials Generation with Inference-Time Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43436-43460
DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43461-43507
Coverage $\not =$ Exposure: Auditable Control of Same-Support Tail Failures under Multimodal Missingness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43508-43537
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43538-43569
TextME: Bridging Unseen Modalities Through Text Descriptions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43570-43589
Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43590-43606
Unifying Masked Diffusion Models with Various Generation Orders and Beyond
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43607-43648
Unified Multimodal Visual Tracking with Dual Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43649-43661
Large-Scale Molecular Dynamics Simulation: Direct Interatomic Modeling with Dilated Message Passing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43662-43680
dgMARK: Decoding-Guided Watermarking for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43681-43705
Emergent Visual Representations through Unsupervised Spiking Networks with Synaptic Pruning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43706-43718
Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43719-43743
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43744-43774
Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43775-43797
Overthinking: Amplifying Reasoning Weights to Extract Learned Secrets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43798-43816
From Generative to Episodic: Sample-Efficient Replicable Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43817-43870
Controllable and Explainable Personality Sliders for LLMs at Inference Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43871-43895
From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43896-43918
Training-Free Guided Diffusion for Planning: A Unified Framework via Doob’s h-Transform with Safety Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43919-43949
Learning Anisotropic Value Geometry with Finsler Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43950-43983
Cross-Subject Modeling for Widefield Calcium Imaging via Atlas-Aligned Spatiotemporal Tokenization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:43984-44013
Neural Dispersion on Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44014-44037
Hierarchical Multi Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44038-44066
Plan, Decouple, Assimilate: Physics-Aware Object Insertion in Remote Sensing Imagery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44067-44086
Just Y-Prediction: Enabling Historical Cumulative Inconsistency in Label Diffusion for Learning with Noisy Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44087-44113
HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44114-44131
LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44132-44155
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44156-44171
MOES-Pred: Molecular Structural Representation Learning by Adaptive Energy-Sentinel Vibration for Generalized Property Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44172-44189
ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44190-44216
When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44217-44243
Words Towards Explainability: Caption Label-Free Learning via Dual Loop Agentic Time Series Captioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44244-44274
Gromov-Wasserstein at Scale, Beyond Squared Norms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44275-44311
Recursive Monte-Carlo Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44312-44329
Control Consistency Losses for Diffusion Bridges
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44330-44367
Maximum-Likelihood Learning of Latent Dynamics Without Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44368-44396
3DGS$^2$-TR: Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44397-44411
Partial Ring Scan: Revisiting Scan Order in Vision State Space Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44412-44432
MotiMotion: Motion-Controlled Video Generation with Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44433-44451
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44452-44490
ExpAlign: Expectation-Guided Vision–Language Alignment for Open-Vocabulary Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44491-44511
Steal the Patch Size: Adversarially Manipulate Vision Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44512-44526
Towards Atoms of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44527-44560
Synergistic Intra- and Cross-Layer Regularization Losses for MoE Expert Specialization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44561-44589
Coordinated Disentanglement with Iterative Mode Discovery Under Hidden Correlations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44590-44622
Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44623-44652
Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44653-44704
In-Context Universal Approximation, Compositional Generalization, and Algorithm Emulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44705-44798
InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44799-44818
Embedding-perturbed Exploration Preference Optimization for Flow Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44819-44837
Faithful Mobile GUI Agents with Guided Advantage Estimator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44838-44865
Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44866-44888
PrivGate: Steering Contextual Integrity in LLMs via Latent Space Geometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44889-44905
Theory of Continual Learning Against Data Poisoning Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44906-44935
The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44936-44975
DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44976-44992
RVAS: Referring Video Active Exploration and Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:44993-45011
Online Learning and Inference for Cox Proportional Hazards Models Using Renewable Sieve Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45012-45037
See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45038-45062
SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45063-45091
MoVie: Multimodal Video Compression with Text Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45092-45110
SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45111-45128
Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45129-45150
Hierarchical Anchor Graph Learning for Multi-View Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45151-45165
LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45166-45180
AURA: Visually Interpretable Affective Understanding via Robust Archetypes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45181-45211
Fast and Accurate Causal Parallel Decoding using Jacobi Forcing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45212-45227
EAKV: An Entropy-Driven Adaptive KV Compression Framework for Long Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45228-45246
RAG without Forgetting: Continual Query-Infused Key Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45247-45271
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45272-45289
Censoring with Plausible Deniability: Asymmetric Local Privacy for Multi-Category CDF Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45290-45311
Universal Approximation with Softmax Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45312-45391
A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45392-45405
BroRL: Scaling Reinforcement Learning via Broadened Exploration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45406-45420
DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45421-45435
Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45436-45464
Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45465-45494
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45495-45519
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45520-45549
ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45550-45581
FedReLa: Imbalanced Federated Learning via Re-Labeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45582-45603
An In-Depth Study on Deep Learning Model Cloning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45604-45616
Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45617-45635
ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45636-45656
Residual Context Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45657-45672
MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45673-45688
Interactive Segmentation with Elaborate Focus Prior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45689-45702
Steering Large Language Models through the DMTA Cycle: Structure-Based Drug Design via Knowledge-Driven Bi-Level Thompson Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45703-45730
DART: Distribution-Aware Adaptive Relational Transfer for Adversarial Attacks against Closed-Source MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45731-45752
Tracing the Dynamics of Refusal: Exploiting Latent Refusal Trajectories for Robust Jailbreak Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45753-45772
EntRAG: Entity-Centric Retrieval-Augmented Generation for Knowledge-based Visual Question Answering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45773-45790
Parameter Manifold Purification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45791-45819
TVI-CoT: Text-Visual Interleaved Chain-of-Thought Reasoning for Multimodal Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45820-45831
Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45832-45857
Near-Minimax Multi-Objective RL under Predictable Adversarial Preferences and Preference-Free Exploration in Linear MDPs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45858-45913
Time-Consistent Robust Multi-Objective Reinforcement Learning via a Bellman–Isaacs Weight-Adversary Recursion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45914-45940
On Structured State-Space Duality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45941-45967
TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45968-45988
EvoMAS: Evolutionary Generation of Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:45989-46021
OSCS: Online Selection with Provable FAR Control for LLM Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46022-46069
Learning the Best Under Constraints: A Duality-Based Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46070-46112
RaGEP: Rank-aware Geometric Expert Pruning for Mixture-of-Experts Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46113-46129
VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46130-46145
VecMol: Vector-Field Representations for 3D Molecule Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46146-46168
Gram2Token: Enabling Run-time GPU-Native Grammar-Constrained Decoding for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46169-46185
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46186-46231
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46232-46268
Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46269-46308
Discovering Interpretable Algorithms by Decompiling Transformers to RASP
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46309-46412
Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46413-46440
Spectra: Rethinking Optimizers for LLMs Under Spectral Anisotropy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46441-46456
Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46457-46487
LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46488-46503
Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46504-46520
EcoVLA: Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46521-46534
SD-MoE: Spectral Decomposition for Effective Expert Specialization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46535-46552
Unsupervised Neural Langevin Sampler for Mixed Integer Linear Programming
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46553-46567
Homophily-Heterogeneity Gradient Surgery for Federated Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46568-46585
Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46586-46616
Thinking in Flow: A Dissipative Stabilization Operator for Robust Autoregressive Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46617-46644
Persistent Backdoor Attacks in Class-Incremental Learning via Structural Invariant Anchoring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46645-46661
ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46662-46682
E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46683-46702
Representation Drift Compensation: A Near-Zero Inference Cost Enhancement for LLM Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46703-46720
ProbeLLM: Automating Principled Diagnosis of LLM Failures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46721-46751
Semantic Tube Prediction: Beating LLM Data Efficiency with JEPA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46752-46773
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46774-46797
Robust Learning via Nested Distributionally Robust Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46798-46824
Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46825-46850
Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46851-46928
Breaking the Computational Barrier: Provably Efficient Actor–Critic for Low-Rank MDPs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46929-46957
Formalizing the Binding Problem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46958-46975
Text-Conditional JEPA for Learning Semantically Rich Visual Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46976-46992
TextResNet: Decoupling and Routing Optimization Signals in Compound AI Systems via Deep Residual Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:46993-47019
New Algorithms for Fully-Dynamic k-center with Outliers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47020-47053
Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47054-47079
Robust Parallel Diffusion Sampling via Dynamic Jacobian Bandwidth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47080-47100
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47101-47152
MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47153-47177
Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47178-47211
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47212-47233
Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47234-47262
LiMuon: Light and Fast Muon Optimizer for Large Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47263-47305
Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47306-47331
Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47332-47345
Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47346-47367
Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47368-47390
PLASH: Provably Linear-Time Attention with Selective Higher-Order Feature Sketching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47391-47434
Towards Professional-Grade Financial Agents: Benchmarking, Tooling, and Structured Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47435-47454
Find, Fix, Reason: Context Repair for Video Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47455-47477
PADA-Coder: Improving Plan-Following Code Generation via Perturbation-Verified Attention Distillation and Dynamic Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47478-47505
Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47506-47531
Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47532-47552
When Model Merging Breaks Routing: Training-Free Calibration for MoE
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47553-47569
Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep Embedding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47570-47583
Local Minima in Quadratic-Penalty Relaxations of Binary Linear Programs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47584-47604
Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47605-47630
Pessimistic Verification for Open-Ended Math Questions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47631-47660
Attributed Network Alignment: Statistical Limits and Efficient Algorithm
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47661-47702
VJEPA: Variational Joint Embedding Predictive Architectures as Probabilistic World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47703-47731
GradientStabilizer: Fix the Norm, Not the Gradient
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47732-47749
RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS Stress
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47750-47764
UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47765-47791
CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47792-47807
AudioMosaic: Contrastive Masked Audio Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47808-47823
Discretely-Refined Multi-view Clustering via Aligned Anchor Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47824-47833
SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-Body Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47834-47850
Towards Generative Graph Matching for Graph Edit Distance Computation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47851-47870
Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47871-47890
On the Emergence of Implicit Curriculum in RLVR Learning Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47891-47938
A General Neural Backbone for Mixed-Integer Linear Optimization via Dual Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47939-47959
AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in Unified Multimodal Models via Decompositional Verifiable Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47960-47982
Does Your Reasoning Model Implicitly Know When to Stop Thinking?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:47983-48013
Real-Time Aligned Reward Model beyond Semantics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48014-48038
Delegation and Verification under AI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48039-48071
How to Fine-Tune a Reasoning Model? A Teacher–Student Cooperation Framework to Synthesize Student-Consistent SFT Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48072-48092
FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48093-48111
Exploring Motif-based Heterogeneous Graph Learning for ReDoS Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48112-48131
LIVE: Long-horizon Interactive Video World Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48132-48148
FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision–Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48149-48174
Cross-Embodiment Robot Foundation World Models with Latent Actions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48175-48191
ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48192-48234
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48235-48247
MAS-Architect: Declarative Multi-Agent System Design via Separation of Concerns
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48248-48273
Optimal Transport–Guided Stochastic Control for Graph Combinatorial Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48274-48292
Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48293-48311
AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture -of-Transformers for End-to-End Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48312-48326
Prototype-Based Test-Time Adaptation of Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48327-48343
TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48344-48367
Continuous Variable Hamiltonian Learning at Heisenberg Limit via Displacement-Random Unitary Transformation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48368-48384
How Far Can LLM Agents Reason with Tables? Benchmarking Multi-Turn Agentic Table Question Answering in the Wild
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48385-48418
Deterministic Differentiable Structured Pruning for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48419-48440
RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48441-48483
LVCG: Learning ECG Representations in the Latent Vectorcardiogram Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48484-48505
GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48506-48528
IACW: Intent-Aware Controllable Watermarking for Scalable Authorial Intent Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48529-48541
ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48542-48560
TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48561-48584
HONet: Data-Efficient Learning for Exact Cover Tasks via Hypergraph Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48585-48600
Reliability-Aware LLM Alignment from Inconsistent Human Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48601-48620
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48621-48643
Foundation Inference Models for Ordinary Differential Equations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48644-48676
Reinforcement Learning via Self-Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48677-48721
Corrigibility Transformation: Constructing Goals That Accept Updates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48722-48745
Identifiable Smooth Conjugacy Learning via Adversarial Orthogonality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48746-48773
Copyright-Bench: Agentic Evaluation of Copyright Law Compliance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48774-48793
Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48794-48813
Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48814-48848
Shape of Thought: Progressive Object Assembly via Visual Chain-of-Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48849-48892
Geometric and Stochastic Analysis of Discontinuities in Sparse Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48893-48944
Active Timepoint Selection for Learning Measure-Valued Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48945-48964
PsumQuant: In-line Post-training Partial Sum Quantizer for Energy Efficient NPU Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48965-48977
PS-PPO : Prefix-Sampling PPO for Critic-Free RLHF
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48978-48997
Box Thirding: Anytime Best Arm Identification under Insufficient Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:48998-49033
Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49034-49077
LLM Watermark Evasion via Bias Inversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49078-49107
Continuous Viewpoint Adaptation for Single View 3D Object Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49108-49125
Model-Dowser: Data-Free Importance Probing to Mitigate Catastrophic Forgetting in Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49126-49153
Gradient Preconditioning for Efficient and Reliable Reward-Guided Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49154-49178
Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49179-49208
Signature-Informed Transformer for Asset Allocation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49209-49232
Action-Sufficient Goal Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49233-49262
Zero-Shot Rankability: Revealing Latent Ordinal Structure in Multimodal Large Language Models via Language
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49263-49280
Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49281-49321
Scalable GANs with Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49322-49353
Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49354-49386
A hitchhiker’s guide to Poisson gradient estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49387-49427
MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49428-49451
High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49452-49484
Lost in Context: Addressing Context Anxiety in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49485-49501
CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49502-49525
Learning to Correct: Reinforcement Learning for Multi-Attempt Chain-of-Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49526-49556
DiScoFormer: Plug-In Density and Score Estimation with Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49557-49577
Provably Label-Efficient Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49578-49597
A Theory of Data Acquisition and Pricing at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49598-49626
Normalized Rewards for Preference Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49627-49646
Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49647-49669
Dichotomy of Feature Learning and Unlearning: Fast-Slow Analysis on Neural Networks with Stochastic Gradient Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49670-49702
Active Regression for Single-Index Models with Unknown Link Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49703-49732
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49733-49760
On the Infinite Width and Depth Limits of Predictive Coding Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49761-49799
Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49800-49821
Formally Exploring Visual Anomaly Detection Evaluation Metrics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49822-49863
CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49864-49904
Names Don’t Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49905-49938
Platonic Transformers: A Solid Choice For Equivariance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49939-49969
Non-Euclidean Gradient Descent Operates at the Edge of Stability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49970-49996
On the Role of Batch Size in Stochastic Conditional Gradient Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:49997-50023
DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50024-50046
Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50047-50071
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50072-50099
Generative Modeling of Discrete Latent Structures via Dynamic Policy Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50100-50123
LALM-as-a-Judge: Benchmarking Large Audio-Language Models for Safety Evaluation in Multi-Turn Spoken Dialogues
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50124-50147
Mirror Descent Actor Critic via Bounded Advantage Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50148-50178
Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50179-50204
Uncovering Grounding IDs: How External Cues Shape Multi-Modal Binding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50205-50229
Steering at the Source: Style Modulation Heads for Robust Persona Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50230-50271
Subgroup Discovery with the Cox Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50272-50308
LEMUR: Learned Multi-Vector Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50309-50330
A Perturbation Approach to Unconstrained Linear Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50331-50377
PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50378-50390
Evaluating Bivariate Causal Statements Based on Mutual Compatibility
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50391-50416
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50417-50473
MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50474-50489
Global Merger-Arbitrage Forecasting with Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50490-50514
Continual Learning of Domain-Invariant Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50515-50547
Confidence is Not Universal: Task-Dependent Calibration and Emergent Behavior in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50548-50571
Exploration Hacking: Can LLMs Learn to Resist RL Training?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50572-50643
RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50644-50661
Self-Refining Video Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50662-50689
Making Models Unmergeable via Scaling-Sensitive Loss Landscape
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50690-50717
Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50718-50731
Efficient Distributed MLLM Training with Cornstarch
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50732-50746
A Geometry-Based View of Mahalanobis OOD Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50747-50778
Flexible Kernels for Protein Property Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50779-50829
Stabilizing Native Low-Rank LLM Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50830-50852
Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50853-50863
An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50864-50887
Theoretical Perspectives on Data Quality and Synergistic Effects in Pre- and Post-Training Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50888-50920
CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50921-50944
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50945-50967
MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50968-50985
Cerebellar-Inspired Residual Control for Fault Recovery: From Inference-Time Adaptation to Structural Consolidation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:50986-51010
Learning Unmasking Policies for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51011-51045
Generative Large Neighborhood Search: Scalable Set Cover Optimization via Discrete Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51046-51082
Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51083-51107
Decision-focused Sparse Tangent Portfolio Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51108-51125
LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51126-51150
Vision-aligned Latent Reasoning for Multi-modal Large Language Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51151-51168
Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51169-51226
Towards Functional Correctness of Code Models with Selective Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51227-51249
When Do Diffusion Models Learn to Generate Multiple Objects?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51250-51282
Context-free Recognition with Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51283-51311
MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51312-51347
Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51348-51368
ShapCCS: Shapley-Driven Client Coreset Selection in Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51369-51387
TopBench: A Benchmark for Implicit Predictive Reasoning in Tabular Question Answering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51388-51422
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51423-51444
Recovering Hidden Reward in Diffusion-Based Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51445-51468
Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51469-51485
OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51486-51513
DiscoForcing: A Unified Framework for Real-Time Audio-Driven Character Control with Diffusion Forcing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51514-51544
Learn-to-learn on Arbitrary Textual Conditioning: A Hypernetwork-Driven Meta-gated LLM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51545-51577
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51578-51610
HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51611-51631
Zero-Shot Text-to-Motion Evaluation using Video Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51632-51648
SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51649-51668
Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51669-51691
Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51692-51711
VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51712-51741
Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51742-51767
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51768-51779
EmBrace: A Collective Knowledge Fusion Framework Toward Unified EEG Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51780-51815
MAST: Motif-Augmented Diffusion with Search Tree for Spectroscopic Molecular Structure Elucidation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51816-51835
DriveWorld-VLA: Unified Latent-Space World Modeling with Vision–Language–Action for Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51836-51856
Manifold-Optimal Guidance: A Unified Riemannian Control View of Diffusion Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51857-51877
Text Generation as Continuous Latent Dynamics via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51878-51901
CoD-Lite: Real-Time Diffusion-Based Generative Image Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51902-51918
Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51919-51941
Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51942-51978
Preference-Modulated Structural Attention for Multi-Objective Combinatorial Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51979-51995
SC-FAGC: Size Constrained Fast Anchor Graph Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:51996-52014
Hyperparameter Transfer with Mixture-of-Experts Layers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52015-52042
Efficient Synthetic Network Generation via Latent Embedding Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52043-52090
MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52091-52110
Collaborative Disagreement Resolution for Scalable Oversight
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52111-52137
PRISM: Parallel Residual Iterative Sequence Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52138-52156
CiteGuard: Conformal False-Discovery Control for Faithful Retrieval-Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52157-52187
DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52188-52212
Distributed Direct Preference Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52213-52243
Z-Erase: Enabling Concept Erasure in Single Stream Diffusion Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52244-52271
Contrastive Weak-to-Strong Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52272-52290
OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52291-52311
Incremental BPE Tokenization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52312-52342
Olaf-World: Orienting Latent Actions for Video World Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52343-52360
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52361-52394
Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52395-52414
TreeCUA: Efficiently Scaling GUI Automation with Tree-Structured Verifiable Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52415-52428
Dissecting Post-Training: Uncovering the Complementary Roles of SFT and RL for Document Parsing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52429-52447
ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52448-52481
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controls
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52482-52513
MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52514-52529
Secure Multi-agent Reinforcement Learning for Service Systems with Affinity and Byzantine Nodes: Stability Analysis and Protection Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52530-52557
Configurable Reward Model for Balanced Safety Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52558-52581
Private Learning with Public Feature Conditioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52582-52607
Long Live The Balance: Information Bottleneck Driven Tree-based Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52608-52630
From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52631-52651
HexGen-3: A Fully Disaggregated LLM Serving Framework with Fine-Grained Heterogeneous Resource Autoscaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52652-52667
Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52668-52688
CRAG: Can 3D Generative Models Help 3D Assembly?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52689-52703
USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52704-52721
What Makes a Representation Good for Single-Cell Perturbation Prediction?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52722-52757
LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52758-52775
Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52776-52802
OvisOCR: End-to-End Document Parsing via Aligning Specialized Perception with General Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52803-52817
Visual Implicit Autoregressive Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52818-52831
Boosting World Models Learning via Latent-Space Value Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52832-52862
Quantum Algorithms for Triangle Cut Sparsification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52863-52893
Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52894-52916
GFMate: Empowering Graph Foundation Models with Test-time Prompt Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52917-52947
Enhancing LLM Training via Spectral Clipping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52948-52995
Efficient Transformer Attention for SNNs via Hadamard Simplification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:52996-53007
Transformed Latent Variable Multi-Output Gaussian Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53008-53047
Procedural Pretraining: Warming Up Language Models with Abstract Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53048-53077
XSkill: Continual Learning from Experience and Skills in Multimodal Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53078-53104
Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53105-53161
AgentLAB: Benchmarking LLM Agents against Long-Horizon Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53162-53180
Spatial Conformal Inference through Localized Quantile Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53181-53202
KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53203-53222
DecoVer: A Decompose-and-Verify Neuro-Symbolic Framework for Embodied Task Planning with BC+
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53223-53279
BRIDGE: Triangular Fixed-Point Refinement for Long-Horizon Persona Consistency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53280-53307
Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53308-53333
SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53334-53354
EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53355-53376
Budget-Efficient Attacks and Robustness Training for Cooperative MARL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53377-53397
StructMamPose: From Sequential Perception to Structural Reasoning for 3D Human Pose Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53398-53410
Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53411-53434
Ophiuchus: Incentivizing Tool-augmented ”Think with Images” for Joint Medical Segmentation, Understanding and Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53435-53471
NaviAgent: Graph-Driven Bilevel Planning for Scalable Tool Orchestration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53472-53506
VectorWorld: Efficient Streaming World Model via Diffusion Flow on Vector Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53507-53543
Seeing Symbols, Missing Structure: A Real-World Handwritten Mathematical Expression Recognition Benchmark for Large Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53544-53568
PICACO: Pluralistic In-Context Value Alignment via Total Correlation Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53569-53616
$\textttPRISM$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53617-53640
DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53641-53676
Biologically Plausible Heavy-Tailed Connectivity Enhances Generalization on Cognitive Tasks in Recurrent Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53677-53707
Approximation Bounds for Transformer Networks with Application to Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53708-53743
Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53744-53777
Agentic Proposing: Enhancing Large language Model Reasoning via Compositional Skill Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53778-53799
DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53800-53822
TAMPO: Task- and Model-Aware Automatic Prompt Optimization for Auto-Routing in LLM-based Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53823-53845
Seeing Without Understanding: Disentangling Perception, Reasoning, and Simulation in VLM Gameplay
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53846-53870
WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53871-53882
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53883-53901
Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53902-53925
Entropy-Aware On-Policy Distillation of Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53926-53943
DTop-p MoE: Sparsity-Controlled Dynamic Top-p MoE for Foundation Model Pre-training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53944-53971
Robust Signal Enhancement via Fractional Detail Views and Knowledge Guided Multi-view Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53972-53997
Margin-Adaptive Confidence Ranking for Reliable LLM Judgement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:53998-54018
EvoEGF-Mol: Evolving Exponential Geodesic Flow for Structure-based Drug Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54019-54046
C$^2$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54047-54070
From Human Labels to Literature: Semi-Supervised Learning of NMR Chemical Shifts at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54071-54088
ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54089-54130
SE-GA: Memory-Augmented Self-Evolution for GUI Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54131-54154
Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54155-54171
Reasoning Quality Emerges Early: Data Curation for Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54172-54192
Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54193-54208
SwitchCraft: A Programmatic Framework for Designing State-Switching Proteins
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54209-54234
Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54235-54249
Local Constrained Bayesian Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54250-54277
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54278-54319
Meta-learning Structure-Preserving Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54320-54349
Mixture of Horizons in Action Chunking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54350-54370
InfoDLM: an Information-Adaptive Framework for Discrete Diffusion Language Model Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54371-54395
Scaling-Aware Adapter for Structure-Grounded LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54396-54438
Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54439-54454
Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54455-54485
An Approximation Algorithm for Graph Label Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54486-54500
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54501-54529
A New Framework for Cybersecurity Refusals in AI Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54530-54548
When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54549-54632
PEARL: Differentially Private and Entropy-Aware Regulated Language Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54633-54661
Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54662-54686
Interpreting Physics in Video World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54687-54724
Fully Dynamic Coreset Spectral Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54725-54740
LoRDO: Distributed Low-Rank Optimization with Infrequent Communication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54741-54775
Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54776-54806
Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54807-54827
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54828-54846
Adversarial Training for Process Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54847-54870
Tournament Style RL: Stabilizing Policy Optimization on Non Verifiable Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54871-54887
Learning Context-Conditioned Predicate Semantics via Prototype Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54888-54900
Sharp Inequalities between Total Variation and Hellinger Distances for Gaussian Mixtures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54901-54927
Probing Cross-modal Information Hubs in Audio-Visual LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54928-54952
Nonparametric Distribution Regression Re-calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54953-54978
Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:54979-55000
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55001-55029
Layer-Centric Factors of Variation Disentanglement for Task- and Model-Agnostic Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55030-55049
Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55050-55089
Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55090-55109
Self-Augmenting Retrieval for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55110-55124
The Signal is in the Steps: Local Scoring for Reasoning Data Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55125-55155
In-Training Defenses Against Emergent Misalignment in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55156-55176
Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55177-55201
Step-Resolved Data Attribution for Looped Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55202-55235
Fast Byte Latent Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55236-55263
Overcoming PINNs Failure Modes In High Dimension With Low-Rank Fourier Sum
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55264-55283
Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55284-55320
ACON: Optimizing Context Compression for Long-horizon LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55321-55375
Don’t Forget Why You Started: Tackling Dual Forgetting in Vision-Language Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55376-55395
Real-Time Visual Attribution Streaming in Thinking Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55396-55458
Factor-Wise Homogeneity of Slot-Attention for Continual Object-Centric Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55459-55512
Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55513-55537
A$^2$SG: Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55538-55564
Transformers Can Learn Posterior Predictive Distributions In-Context
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55565-55596
Moving Out: Physically-grounded Human-AI Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55597-55629
ThunderAgent: A Fast, Simple, and Program-Aware Agentic Inference System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55630-55657
Text-Driven Fusion for Infrared and Visible Images: Achieving Image Scene Adaptation on Hyperbolic Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55658-55671
Automatic Pruning Discovery for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55672-55686
Instance-Level Costs for Nuanced Classifier Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55687-55699
Credit Assignment via Neural Manifold Noise Correlation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55700-55722
Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55723-55736
AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-Speech
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55737-55755
Breaking the Echo Chamber: A Dynamic Ensemble Pruning Perspective on MoE
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55756-55776
Capacity without Access: Reinterpreting the Mid-Depth Spectral Plateau in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55777-55800
Crowd4D: Scene-Aware Monocular 4D Crowd Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55801-55813
Gradient-Based Causal Tree Ensembles: A Backbone Architecture for Heterogeneous Treatment Effects
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55814-55850
Multimarginal flow matching with optimal transport potentials
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55851-55891
Submodular Optimization for Minimal Augmentation in Robust Language Model Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55892-55925
From Growing to Looping: A Unified View of Iterative Computation in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55926-55949
Are Object-Centric Representations Better at Compositional Generalization?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55950-55980
SafeDec: Constrained Decoding for Safe Autoregressive Generalist Robot Navigation Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55981-55992
Critique-Guided Distillation for Robust Reasoning via Refinement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:55993-56024
Harmful Overfitting in Sobolev Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56025-56061
FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56062-56074
FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56075-56110
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56111-56136
Symmetry in language statistics shapes the geometry of model representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56137-56172
Adaptive Momentum and Nonlinear Damping for Neural Network Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56173-56201
Unveiling the Role of Data Uncertainty in Tabular Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56202-56221
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56222-56258
Geometrically Constrained Outlier Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56259-56277
GraphFLEx: Unsupervised Structure Learning $\underline\textF$ramework for $\underline\textL$arge $\underline\textEx$panding $\underline\textGraph$s
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56278-56302
ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56303-56345
Rethinking Evaluation Paradigms in IBP-based Certified Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56346-56383
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56384-56413
Do Transformers Need Three Projections? Systematic Study of QKV Variants
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56414-56441
Towards Solving the Gilbert-Pollak Conjecture via Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56442-56498
Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56499-56526
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56527-56570
Deformba: Vision State Space Model with Adaptive State Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56571-56587
IVQA-LD: Inclusive Multimodal Understanding for Population with Limb Deficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56588-56605
Rethinking Pretraining Data Detection for LLMs: From Local to Global
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56606-56627
Time series saliency maps: Explaining models across multiple domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56628-56649
Manifold-Aware Perturbations for Constrained Generative Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56650-56677
Mechanistic Anomaly Detection via Functional Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56678-56703
Expanding the AI Evaluation Toolbox with Statistical Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56704-56739
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56740-56763
Sinkhorn Normalization of Diffusion Kernels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56764-56795
Robust AI Evaluation through Maximal Lotteries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56796-56827
Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56828-56854
Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56855-56885
Reward Learning through Ranking Mean Squared Error
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56886-56915
A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56916-56940
Quantifying Error Propagation and Model Collapse in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56941-56981
Federated Causal Inference on Multi-Site Observational Data via Propensity Score Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:56982-57008
Minimum Distance Summaries for Robust Neural Posterior Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57009-57041
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57042-57071
Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57072-57109
Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57110-57135
Continuous Diffusion Models Can Obey Formal Syntax
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57136-57151
Explicit representation of germline and non-germline residues improves antibody language modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57152-57196
Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57197-57224
Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57225-57247
Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57248-57275
A Regret Minimization Framework on Preference Learning in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57276-57308
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57309-57337
Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57338-57358
LeakGFN: Robust Molecular Generation in Generative Flow Networks via Flow Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57359-57384
Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57385-57410
Robust and Consistent Ski Rental with Distributional Advice
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57411-57444
On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57445-57473
Stochastic Gradient Variational Inference with Price’s Gradient Estimator from Bures-Wasserstein to Parameter Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57474-57514
Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57515-57538
Equivariant Latent Alignment via Flow Matching under Group Symmetries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57539-57559
Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57560-57614
VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57615-57677
Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57678-57695
DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57696-57722
Inverting Data Transformations via Diffusion Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57723-57753
AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57754-57780
Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models Against Gaussian Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57781-57815
Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57816-57854
Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57855-57894
CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57895-57910
Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57911-57926
Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57927-57953
Fine-Tuning Masked Diffusion for Provable Self-Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57954-57976
Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:57977-58001
Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58002-58039
BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58040-58056
EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58057-58078
From Drift to Coherence: Stabilizing Beliefs in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58079-58105
Frictional Q-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58106-58123
Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58124-58155
Breaking the Reference Bottleneck via Learning to Rewrite Conversational Queries without Gold Reference Passages
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58156-58189
ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58190-58205
WAVE: Window-Aware Vocabulary-Efficient Early-Exit for Training-Free LLM Acceleration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58206-58217
Machine Learning Hamiltonians are Accurate Energy-Force Predictors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58218-58253
Contrastive Representation Regularization for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58254-58275
Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58276-58303
Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58304-58327
Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58328-58358
Adversarial Robustness of Implicit Neural Representation-Based Classifiers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58359-58384
BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58385-58413
Teaching Molecular Dynamics to a Non-Autoregressive Ionic Transport Predictor
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58414-58440
DiscoverLLM: From Executing Intents to Discovering Them
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58441-58480
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58481-58512
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58513-58528
NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58529-58548
Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58549-58593
Investigating Component Contributions in Multi-Agent ML Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58594-58624
Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58625-58671
TokenDrop: Token-Level Importance-Aware Backward Propagation Skipping for Efficient LLM Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58672-58691
Identifying Connectivity Distributions from Neural Dynamics Using Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58692-58728
Stability Analysis of Sharpness-Aware Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58729-58742
GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58743-58756
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58757-58786
AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58787-58819
Transfer Learning in High-dimensional Ising Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58820-58854
CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58855-58877
StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58878-58898
Discounted Beta–Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58899-58918
Temporal Preference Optimization for Unsupervised Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58919-58950
DNACHUNKER: Learnable Tokenization for DNA Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58951-58968
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58969-58995
EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:58996-59026
Identifiable Token Correspondence for World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59027-59046
Persona-Pruner: Sculpting Lightweight Models for Role-Playing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59047-59071
Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59072-59087
SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59088-59103
Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59104-59140
ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59141-59154
TRACE: Toulmin-based Reasoning Assessment through Constructive Elements for LLM CoT Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59155-59177
ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59178-59193
Memory as Dynamics: Learning Reliability-Guided Predictive Models for Online Video Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59194-59210
Coverage Improvement and Fast Convergence of On-policy Preference Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59211-59246
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59247-59280
Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59281-59305
Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59306-59321
Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59322-59387
When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59388-59414
Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59415-59436
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59437-59464
Tucker Attention: A generalization of approximate attention mechanisms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59465-59485
Skewness-Robust Causal Discovery in Location-Scale Noise Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59486-59509
Reinforcement Learning for Tool-Calling Agents in Fast Healthcare Interoperability Resources (FHIR)
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59510-59525
Tractable Expected Information Gains for Exponential Family Posteriors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59526-59546
Beyond the Bellman Recursion: A Pontryagin-Guided Framework for Non-Exponential Discounting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59547-59571
From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59572-59589
Geometric Embedding Alignment via Curvature Matching in Transfer Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59590-59622
Riemannian Diffusion Models on General Manifolds via Physics-Informed Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59623-59642
LILO: Bayesian Optimization with Natural Language Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59643-59693
Adaptive Quasimetric Mapping : Principled Topological Abstraction for Robust Offline Goal-Conditioned Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59694-59719
Learning-To-Measure: In-Context Active Feature Acquisition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59720-59752
Incorporating Importance Weighting in Optimal Transport Based Domain Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59753-59787
Deep Reinforcement Learning Finds Bayes-Nash Equilibrium in Competitive Newsvendor Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59788-59817
Mitigating Plasticity Loss through Architectural Design in Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59818-59844
Generative Visual Code Mobile World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59845-59878
Graph Neural Networks Are Not Continuous Across Graph Resolutions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59879-59931
PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59932-59948
CB-SLICE: Concept-Based Interpretable Error Slice Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59949-59968
Natural Hypergradient Descent: Algorithm Design, Convergence Analysis, and Parallel Implementation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:59969-60002
Metric—Phase Fields: Decoupling Distance and Sign for Thin-Structure Reconstruction from Unoriented Point Clouds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60003-60022
From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60023-60050
SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60051-60073
Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60074-60101
Expand Neurons, Not Parameters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60102-60134
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60135-60165
ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60166-60187
Finding Most Influential Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60188-60203
A Fine-Grained Understanding of Uniform Convergence for Halfspaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60204-60214
Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60215-60235
Covariance estimation using Markov chain Monte Carlo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60236-60259
Ubiquity of Emergent Hebbian Dynamics in Regularized Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60260-60283
It’s a TRAP! Task-Redirecting Agent Persuasion Benchmark for Web Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60284-60300
The Axiomatic Value of Regularization in AI Alignment from Human Preferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60301-60314
PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60315-60338
Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60339-60369
Speculative Sampling For Faster Molecular Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60370-60397
Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60398-60429
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60430-60446
Positive–Unlabeled Reinforcement Learning Distillation for On-Premise Small Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60447-60479
Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60480-60494
MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60495-60522
Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60523-60567
The Data Manifold under the Microscope
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60568-60602
Linear Regression with Unknown Truncation Beyond Gaussian Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60603-60660
Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60661-60725
Understanding the Parameter Space Volume of Transformers Encoding Boolean Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60726-60757
Finding DoRI: Discovery of Retained Images in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60758-60814
LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60815-60863
SliceFine: The Universal Winning-Slice Hypothesis for Pretrained Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60864-60903
Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60904-60947
Unifying Deep Stochastic Processes for Image Enhancement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60948-60974
Collapsed Effective Operators for Higher-order Structures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60975-60995
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:60996-61024
PINNfluence: Interpreting PINNs through Influence Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61025-61064
Interpretability Transfer from Language to Vision via Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61065-61090
Efficient Numeracy in Language Models through Single-Token Number Encodings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61091-61118
Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61119-61137
Rubric Curriculum RL: Exploiting the Generation-Verification Gap in Non-Verifiable Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61138-61170
LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61171-61214
ProMiSE: Protein Multi-State Evaluation Benchmark in Biological Contexts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61215-61235
When Random Saliency Looks Trained: Architectural Center Bias in CNN Interpretability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61236-61266
Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61267-61316
SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61317-61348
PDFBench: A Benchmark for De Novo Protein Design from Function
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61349-61371
Rethinking Calibration for Early-Exit Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61372-61389
How to Price Data: A Market Equilibrium Based Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61390-61424
Differentially Private Geodesic Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61425-61453
Disentangling Geometry, Performance, and Training in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61454-61482
Feature Collapse Under Corruption: An Entropy Perspective on Robust Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61483-61496
NeurOCNN: A Neural-Operator-Based Model for Physiological Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61497-61512
Concept Removal for Frontier Image Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61513-61538
Tvcache: A Tool-Value Cache for Post-Training LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61539-61558
$\textttFHAIM$: Fully Homomorphic AIM for Private Tabular Synthetic Data Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61559-61577
Evolving Interpretable Constitutions for Multi-Agent Coordination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61578-61601
Combinatorial Sparse PCA Beyond the Spiked Identity Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61602-61630
How do LLMs Compute Verbal Confidence?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61631-61672
A Unifying Relational Perspective on Expressive Lottery Tickets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61673-61701
SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61702-61736
Learning Structured Reasoning via Tractable Trajectory Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61737-61755
Measuring Intent Comprehension in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61756-61805
GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61806-61829
The Theory and Practice of MAP Inference over Non-Convex Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61830-61872
Function-Valued Causal Influence in Nonlinear Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61873-61898
Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61899-61925
AI Engram: In Search of Memory Traces in Artificial Intelligence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61926-61951
Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61952-61985
Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:61986-62006
Guaranteed Optimal Compositional Explanations for Neurons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62007-62049
Search Space Synthesis for Parametric Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62050-62068
Refined Analysis of Entropy-Regularized Actor-Critic
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62069-62107
Simultaneous Speech-to-Speech Translation Without Aligned Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62108-62127
Quantifying the noise sensitivity of the Wasserstein metric for images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62128-62145
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62146-62174
UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62175-62205
DecoderTCR: Compositional Pretraining and Entropy-Guided Decoding for TCR-pMHC Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62206-62229
Predictive variational inference: Learn the predictively optimal posterior distribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62230-62254
MoCL: Metabolic Optimization for Curvature-Aware Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62255-62273
Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62274-62296
LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62297-62320
Adversarial Attack and Defense for Denoising Diffusion Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62321-62362
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62363-62378
Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62379-62407
Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62408-62418
Population-Aware Imitation Learning in Mean-field Games with Common Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62419-62453
ConTSG-Bench: A Unified Benchmark for Conditional Time Series Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62454-62493
Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62494-62529
FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62530-62559
Scaling Vision Transformers for Functional MRI with Flat Maps
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62560-62582
AOEPT: Breaking the Implicit Modality-Reduction Bottleneck in Modality-Missing Prompt Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62583-62602
Functional Decomposition and Shapley Interactions for Interpreting Survival Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62603-62641
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62642-62676
Nested birth-death processes are competitive with neural networks as time-dependent models of protein evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62677-62705
Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62706-62730
Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62731-62796
Translation Heads: Disentangling meaning from language in LLM-based machine translation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62797-62857
RouterInterp: Understanding Superposed Specialisation in Mixture of Experts Routing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62858-62883
Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62884-62913
MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62914-62940
MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62941-62981
Trust-Region Diffusion Policies for Massively Parallel On-Policy RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:62982-63007
HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63008-63032
Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63033-63059
PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63060-63077
Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63078-63096
Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63097-63117
FAFO: Lossy KV Cache Compression for Lossless Inference Acceleration via Draftless Fumble Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63118-63148
Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63149-63171
Path-conditioned training: a principled way to rescale ReLU neural networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63172-63205
When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63206-63238
Policy Search via Bayesian Optimization with Temporal Difference Gaussian Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63239-63263
The Catastrophic Failure of *the* k-Means Algorithm in High Dimensions, and How Hartigan’s Algorithm Avoids It
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63264-63305
LDARNet: DNA Adaptive Representation Network with Learnable Tokenization for Genomic Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63306-63324
GENEB: Why Genomic Models Are Hard to Compare
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63325-63391
Query Lens: Interpreting Sparse Key-Value Features with Indirect Effects
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63392-63429
Decomposing Query-Key Feature Interactions Using Contrastive Covariances
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63430-63449
SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63450-63470
Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63471-63495
CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63496-63513
ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63514-63526
Toward Understanding Adversarial Distillation: Why Robust Teachers Fail
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63527-63607
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63608-63634
DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63635-63655
Stochastic Sparse Attention for Memory-Bound Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63656-63682
Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63683-63701
Variable-Length Tokenization via Learnable Global Merging for Diffusion Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63702-63717
Focusing Where Vision Matters: Selective Training for Large Vision Language Models via Visual Information Gain
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63718-63739
On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63740-63799
Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63800-63838
HInT: Hypergraph Infusion at the Structural Layers Improves Table Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63839-63862
Decision-Focused Learning via Tangent-Space Projection of Prediction Error
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63863-63883
SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63884-63906
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63907-63939
Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63940-63968
From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:63969-63999
BIT-LLM: Brain Instruction Tuned LLM with persistent Cross-Attention for fMRI-to-Text Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64000-64027
Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and a Simple Remedy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64028-64045
Geometry-Aware Image Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64046-64063
LittleBit-2: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64064-64085
MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64086-64135
Lie-Algebraic Acceleration of Neural Koopman Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64136-64157
Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64158-64174
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64175-64204
Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64205-64232
Quantum Robust Inner Minimization for Reinforcement Learning with Quadratic Speed-Up in Query Complexity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64233-64252
Monotonic Variational Gaussian Process for Efficient Data Collection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64253-64270
Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64271-64320
View Space: Learning Representation across Arbitrary Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64321-64358
CompleteP for RL: Maintaining Feature Learning When Scaling Deep Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64359-64419
Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64420-64442
UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64443-64468
Generalizing Multi-Scale Time-Series Modeling with a Single Operator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64469-64502
MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64503-64524
ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64525-64546
PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64547-64564
SPLIT-VLM: Salience-Guided Partitioning towards Local Coverage for Importance-Aware Token Dropping in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64565-64583
Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64584-64615
Practical Mechanism for Fault-Tolerant Spiking Neural Networks via Simple Input Control Based on Learnable Fragmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64616-64653
Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64654-64672
Priority-Aware Shapley Value
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64673-64710
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64711-64736
FUSE: Ensembling Verifiers with Zero Labeled Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64737-64763
Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64764-64788
Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64789-64836
OCNR: Stabilizing Self-Play by Mitigating Iteration-Collapse With One-Class Novelty Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64837-64861
TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64862-64898
Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64899-64932
FOCUS & RePAIR: Mitigating Text Degeneration via Token-Level Guidance For Pruned Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64933-64953
Reflective Hamiltonian Monte Carlo: Mixing Analysis and Application to Sampling on Stiefel Manifold
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:64954-65000
Contrastive Order Learning: A General Framework for Ordinal Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65001-65031
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65032-65065
Emergent Communication Under Misinformation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65066-65109
Two-Stage Unit Tying for Simplifying Differentiable Logic Gate Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65110-65121
The Efficiency Gap in Byte Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65122-65136
LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65137-65155
Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65156-65205
Understanding Multimodal Learning: A Loss Landscape Smoothness Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65206-65230
How to Correctly Report LLM-as-a-Judge Evaluations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65231-65252
Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65253-65276
Root Cause Analysis of Failures in Microservices via Bayesian Root Cause Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65277-65305
The Cost of Commitment in Option-Based Hierarchical RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65306-65329
Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65330-65359
Synergistic Space-Vision Processing for Predicate Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65360-65375
A Computational Framework for Evaluating Human-likeness in LLMs’ Open-ended Human Behaviors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65376-65395
A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65396-65420
Think Less, Act Early: Reinforced Latent Reasoning with Early Exit in Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65421-65436
A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65437-65471
QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65472-65505
GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65506-65519
Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65520-65535
Budget-Constrained Step-Level Diffusion Caching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65536-65553
Towards Trustworthy Video Anomaly Understanding: A Class-Guided Chain-of-Evaluation Metric and An Anomaly-focused Meta-Benchmark
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65554-65574
LEGO-FL: Learning Heterogeneous Federated Models as a LEGO Assembly Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65575-65585
Linguistic Relative Policy Optimization for Video Anomaly Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65586-65603
SorryDB: Can AI Provers Complete Real-World Lean Theorems?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65604-65627
Multiple Choice Learning of Low-Rank Adapters for Language Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65628-65667
Near-Optimal Private Linear Regression via Iterative Hessian Mixing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65668-65706
Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65707-65729
Toward Cybersecurity-Expert Small Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65730-65763
Optimal Regret for Policy Optimization in Contextual Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65764-65786
Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65787-65814
Improving Topic Modeling by Distilling Soft Labels from Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65815-65836
Scaling Multi-Agent Environment Co-Design with Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65837-65858
Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65859-65883
PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65884-65901
Dimension-free convergence of diffusion models for approximate Gaussian mixtures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65902-65935
MetaphorVU: Towards Metaphorical Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65936-65969
“Someone Hid It!”: Query-Agnostic Black-Box Attacks on LLM-Based Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65970-65985
StableI2I: Spotting Unintended Changes in Image-to-Image Transition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:65986-66014
Improving the Robustness-Utility Trade-off in Decentralized Learning over Sparse Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66015-66082
Thinking with Geometry: Active Geometry Integration for Spatial Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66083-66101
Do Activation Verbalization Methods Convey Privileged Information?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66102-66142
LayerT2V: A Unified Multi-Layer Video Generation Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66143-66172
Building Reliable Long-Form Generation via Hallucination Rejection Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66173-66187
Beyond Prediction: Tail-Aware Scheduling for LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66188-66203
DroneDINO: Towards Heterogeneous Routed Mixture of Experts for Drone-based Unified Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66204-66213
Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66214-66235
Unifying Heterogeneous Multi-Modal Remote Sensing Detection Via Language-Pivoted Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66236-66254
Imagination Helps Visual Reasoning, But Not Yet in Latent Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66255-66269
Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66270-66288
StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66289-66329
Scaling Behavior in Model Fine-tuning for Audio DeepFake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66330-66339
Knapsack RL: Compute-Efficient Reinforcement Learning via Heterogeneous Rollout Allocation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66340-66368
Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66369-66397
De-Linearizing Agent Traces: Bayesian Inference of Latent Partial Orders for Efficient Execution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66398-66433
A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66434-66464
MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66465-66500
STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66501-66525
MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-regularized Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66526-66560
HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66561-66582
Ego3S: Select, Strengthen, and Synchronize for Efficient Egocentric Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66583-66603
FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66604-66630
Beyond Temperature: Hyperfitting as a Late-Stage Geometric Expansion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66631-66655
Understanding Generalization and Forgetting in In-Context Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66656-66679
OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66680-66697
Convergence Rate Analysis of the AdamW-Style Shampoo: Unifying One-Sided and Two-Sided Preconditioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66698-66720
OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66721-66735
Attention Illuminates LLM Reasoning: The Uncovered Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66736-66761
RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66762-66786
InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66787-66808
Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66809-66836
TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66837-66862
Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66863-66884
From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66885-66902
QiMeng-LibBench: Benchmarking LLM Agents for Library-Scale Cross-Architecture Migration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66903-66919
Large Scale Manifold Balanced Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66920-66931
Perceptual Flow Network for Visually Grounded Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66932-66962
TreePO: Enhancing Policy Efficacy and Inference Efficiency with Tree Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66963-66976
Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66977-66994
Selling Data as a Digital Good with Scaling Valuations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:66995-67023
Low-cost Full Fine-tuning: Learning What to Update for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67024-67118
Spatial Memory for Out-of-Vision Manipulation in Vision-Language-Action
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67119-67142
IDLM: Inverse-distilled Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67143-67182
SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67183-67197
SAW-Bench: Learning Situated Awareness in the Real World
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67198-67253
Linearizing Vision Transformer with Test-Time Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67254-67267
Quantifying Cross-Domain Knowledge Distillation in the Presence of Domain Shift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67268-67304
Hermes: An Evidence-Driven Agentic Framework for Trustworthy and Explainable AI-Generated Video Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67305-67316
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67317-67345
Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67346-67362
R-Diverse: Mitigating Diversity Illusion in Self-Play LLM Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67363-67386
The Velocity Deficit: Initial Energy Injection for Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67387-67404
What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67405-67430
A Kinetic Energy Perspective of Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67431-67472
Source-Free Open-World RF Fingerprint Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67473-67493
Training Data Efficiency in Multimodal Process Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67494-67534
Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic–Procedural Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67535-67551
Textual Stochastic Gradient Descent: Discrete Optimization of External Memory for Reasoning Language Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67552-67570
Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learning Force Fields
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67571-67598
DGG-HMR: Multi-Person Human Mesh Recovery with Depth-Guided Geometric Anchoring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67599-67614
Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67615-67639
The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67640-67655
Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67656-67669
Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67670-67698
Judgment Operators: A Composition-Invariant Substrate for Multi-Agent Action Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67699-67719
CVSearch: Empowering Multimodal LLMs with Cognitive Visual Search for High-Resolution Image Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67720-67741
SegPVSG: Panoptic Video Scene Graph Generation via Temporal Focusing and Generative Augmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67742-67759
Hyperbolic Hierarchical Alignment for Video-Based Visible-Infrared Person Re-Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67760-67774
Causal Effect Identifiability in the Presence of Latent Confounders Without Auxiliary Variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67775-67794
Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67795-67810
AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67811-67828
Beyond Mode Collapse: Distribution Matching for Diverse Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67829-67847
Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67848-67870
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67871-67889
$\textttFlashSchNet$: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67890-67903
Label-Guided Representation Learning for Incomplete Multi-View Multi-Label Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67904-67927
FIDIA: Function-Informed Sequence Design via Inference-Aligned Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67928-67946
FrameOracle: Learning What to See and How Much to See in Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67947-67972
Causal Discovery for Irregularly Time Series with Consistency Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:67973-67999
Polyphonia: Zero-Shot Timbre Transfer in Polyphonic Music with Acoustic-Informed Attention Calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68000-68024
Mean-Shift PCA by Knockoff Mean
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68025-68043
One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68044-68062
CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68063-68079
Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68080-68098
Expandable, Compressible, Mineable: Open-World Thermal Image Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68099-68113
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68114-68135
GFD-EMVC: Evolutionary Multi-View Classification with Label Noise via Gradient and Feature Dual-Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68136-68154
Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68155-68168
Learning Molecular Semantic Invariant Representation with Prototype Constraint
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68169-68187
Graph Rewiring based on Flow Alignment for Improving Fluid Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68188-68203
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68204-68230
Verbalized Bayesian Persuasion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68231-68294
FRACTAL: State Space Model with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68295-68313
CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68314-68334
Envy-Free Allocation of Indivisible Goods via Noisy Queries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68335-68371
CPMöbius: Iterative Coach–Player Reasoning for Data-Free Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68372-68391
High-Fidelity ANN-to-SNN Conversion via Closed-Loop CKA Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68392-68402
Breaking Multi-Task Curse: Reward-Weighted Evolution for Black-Box Many-Task Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68403-68429
Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68430-68443
Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68444-68467
DiasR: Dual-Modal Identity-Anchored Sparse Routing for Efficient Multi-Subject Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68468-68490
Bias-Spectrum Neural Processes for Parametric PDEs: Architecture Priors Meet PDE Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68491-68513
NorMuon: Making Muon more efficient and scalable
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68514-68533
Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68534-68569
Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68570-68602
Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68603-68618
FiX: Introducing Fine-grained Forget Gate into Softmax Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68619-68640
Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68641-68673
Signal Strength Estimation in Logistic Regression Using Data Splitting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68674-68720
From Winning to Understanding: A Diagnostic Long-Horizon RTS Benchmark for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68721-68741
Trust Region Masking for Long-Horizon LLM Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68742-68754
Not All Prefills Are Equal: PPD Disaggregation for Multi-turn LLM Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68755-68771
WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68772-68794
Layer-wise Gradient Disentanglement: Decoupling Semantics and Preferences in Direct Preference Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68795-68813
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68814-68830
Towards One-for-All Anomaly Detection for Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68831-68852
Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68853-68867
Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68868-68888
How Can Mamba Learn In Context with Outliers and Generalize Provably?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68889-68928
AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68929-68992
Constructing Industrial-Scale Optimization Modeling Benchmark
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:68993-69036
GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69037-69067
Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69068-69085
Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69086-69100
Predicting Large Model Test Losses with a Noisy Quadratic System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69101-69124
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69125-69148
A Minimax Approach for Optimal Intervention Policy Learning with Two-Stage Outcomes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69149-69180
Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69181-69213
CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69214-69230
OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69231-69249
Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69250-69268
OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69269-69289
Causal Structure Learning for Sparse Matrix Fill-in Reduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69290-69300
PCGS: Deblurring 3D Gaussian Splatting with Patch Comparison
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69301-69316
Solving Spatial-Spectral Fusion with Latent Spectral Operators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69317-69341
BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69342-69354
When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69355-69375
Energy-Structured Low-Rank Adaptation for Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69376-69389
Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision–Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69390-69407
Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69408-69424
Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69425-69439
Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69440-69467
Stop When Further Reasoning Won’t Help: Attention-State Adaptive Generation in Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69468-69489
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69490-69519
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69520-69541
A Studentized Spherical Harmonics–Based Nonparametric Two-Sample Test for Compositional and Directional Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69542-69574
Safe Reinforcement Learning with Preference-based Constraint Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69575-69601
SURF: Separation via Unsupervised Remixing Flow
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69602-69632
Towards Parameter-Free Temporal Difference Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69633-69666
SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69667-69715
Breaking the Factorization Barrier in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69716-69732
InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69733-69790
Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69791-69813
DenseMLLM: Standard Multimodal LLMs for Dense Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69814-69840
An Asymmetric Latent Factorization-of-Tensors Model for Relation Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69841-69851
NeuroMamba: A Universal Spatiotemporal Module for Robust Perception in Degraded Sensory Streams
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69852-69863
SemRep : Generative Code Representation Learning with Code Transformations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69864-69902
A Direct Approach for Handling Contextual Bandits with Latent State Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69903-69959
VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69960-69971
Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69972-69983
Trajectory Consistency for One-Step Generation on Euler Mean Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:69984-70019
Controllable Molecule Generation via Sparse Representation Editing: An Interpretability-Driven Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70020-70063
An Information-Theoretic Criterion for Efficient Data Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70064-70075
RTInfer: Real-Time Inference of Multiple DNNs on Edge GPUs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70076-70090
ChartE$^3$: A Comprehensive Benchmark for End-to-End Chart Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70091-70112
DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70113-70133
MIMOMamba: From Scalar Duality to Matrix-Valued Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70134-70179
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70180-70199
FedRGL: Robust Federated Graph Learning under Label Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70200-70222
Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70223-70245
Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70246-70269
Private and Stable Test-time Adaptation with Differential Privacy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70270-70290
HeraSys: Collaborative Serving of Multiple LLM Workflows via Fine-Grained End-to-End Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70291-70308
Learning from Comparison: Constrained Projection Policy Optimization for Pareto-Front Improvement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70309-70335
Neuro-evolutionary Continual Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70336-70352
The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70353-70413
Compile to Compress: Boosting Formal Theorem Provers by Compiler Outputs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70414-70437
Data- and Variance-dependent Regret Bounds for Online Tabular MDPs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70438-70509
Causes and Consequences of Representational Similarity in Machine Learning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70510-70548
Large Language Models as Topological Thinkers: A Benchmark on Graph Persistent Homology
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70549-70568
ARC-Decode: Accelerated Decoding with Risk-Bounded Acceptance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70569-70584
Anchor-guided Hypergraph Condensation with Dual-level Discrimination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70585-70602
Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Editing via In-Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70603-70622
OpenSage: Self-programming Agent Generation Engine
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70623-70642
Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70643-70670
BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70671-70692
Prefix-Cache-Aware Data Reordering for LLM-Augmented Database Analytics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70693-70723
FasterVAR: Plug-and-Play Acceleration for Visual Autoregressive Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70724-70743
Mind the State: Towards Unified, Context-Aware EEG-to-fMRI Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70744-70768
ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70769-70793
Expectation Alignment of Language Models for Real-World User Expectations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70794-70830
Retro-Expert: Collaborative Reasoning for Interpretable Retrosynthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70831-70866
Towards Trustworthy and Identifiable Virtual Face Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70867-70877
CELL: A Causal Perspective for Fairness-aware Graph Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70878-70896
BOOSTAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70897-70918
Sponge Tool Attack: Stealthy Denial-of-Efficiency against Tool-Augmented Agentic Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70919-70937
Cross-task Calibration for Asynchronous Federated Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70938-70953
Prism-MoE: Efficient Dense-to-MoE Conversion for Visual Autoregressive Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70954-70968
LoRe: Adaptive Interaction-Evaluation Routing with Per-step Interaction Budgets for Iterative Graph Solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70969-70982
A Factorized Low-Rank RNN Framework for Uncovering Independent Neural Latent Dynamics and Connectivity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70983-70998
GOCM: Single-Step Graph Outlier Synthesis via Origin Consistency Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:70999-71023
From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71024-71040
Differentially Private Continual Release with Relative Error
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71041-71067
OBJVanish: Prompt-Driven Generation of Physically Realizable 3D LiDAR-Invisible Objects
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71068-71080
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71081-71095
Statistical Consistency and Generalization of Contrastive Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71096-71147
Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71148-71167
Scaling Robot Policy Evaluation via Discrete Diffusion World Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71168-71186
Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71187-71215
Structured 4D Latent Predictive Model for Robot Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71216-71230
Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71231-71284
Graph is a Substrate Across Data Modalities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71285-71306
nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71307-71326
Neural Modular Physics for Elastic Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71327-71344
Object-level Semantic and Spatial Distillation for Open Vocabulary Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71345-71359
PlugGuard: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71360-71382
HEARTS: Benchmarking LLM Reasoning on Health Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71383-71433
Robust Vision-Language Models via Manifold-Adversarial Adapters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71434-71453
Reasoning LLM Improves Speaker Recognition in Long-form TV Dramas
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71454-71475
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71476-71507
PRIM: Cooperative Dynamic Token Compression for Efficient Large Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71508-71523
Optimizing Visual Generative Models via Distribution-wise Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71524-71541
DRFusion: Drift-Resilient Temporally Consistent Infrared–Visible Video Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71542-71552
The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71553-71575
Spatially-Regularized Entropy for Discriminative Token Merging in Fine-Grained Re-Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71576-71593
From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71594-71618
MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71619-71657
IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71658-71678
Embodied Task Planning via Graph-Informed Action Generation with Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71679-71700
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71701-71723
Understanding Transfer Learning of RNA Foundation Models on Downstream Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71724-71744
GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71745-71762
Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic Task
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71763-71786
Reliable Thinking with Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71787-71813
ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71814-71850
Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71851-71891
ALSO: Adversarial Online Strategy Optimization for Social Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71892-71913
Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71914-71931
Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71932-71956
SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71957-71980
FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:71981-71999
Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72000-72024
Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72025-72040
Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72041-72080
Towards Complete Multi-Agent Coordination Policy Learning via Denoising Maximum Entropy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72081-72115
Probability of Matching for Batch Multi-Objective Bayesian Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72116-72133
DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72134-72156
AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72157-72170
Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72171-72202
Eliminating Solution Bias in Differentially Private Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72203-72236
Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72237-72259
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72260-72276
Characterizing the Effect of Noise in Language Generation in the Limit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72277-72289
StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72290-72314
Towards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72315-72330
PRAC: Principal-Random Subspace for LLM Activation Compression and Memory-Efficient Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72331-72349
From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72350-72381
LaRI: Layered Ray Intersections for Single-view 3D Geometric Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72382-72400
Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72401-72427
Modality-Decoupled Online Recursive Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72428-72455
MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72456-72495
SetPO: Set-Level Policy Optimization for Diversity-Preserving LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72496-72522
FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72523-72548
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72549-72575
Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72576-72597
State-Dependent Safety Failures in Multi-Turn Language Model Interaction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72598-72615
Task-Aware Preference Calibration for Direct Preference Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72616-72641
RePo: Language Models with Context Re-Positioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72642-72658
UAV$^2$: A Unified and Adaptive Scheduling Framework for UAV Autopilot Systems with Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72659-72683
Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72684-72705
Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72706-72723
On Revisiting Entropy for Identifying Mislabeled Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72724-72743
Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72744-72767
Multi-Label Test-Time Adaptation with Bayesian Conditional Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72768-72784
Beyond Logits: Metastable Latent Dynamics for Sample-Efficient Best-of-N Selection in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72785-72806
Self-Guidance: Enhancing Neural Codecs via Decoder Manifold Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72807-72826
Lavida-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72827-72854
TransLight: Image-Guided Customized Lighting Control with Generative Decoupling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72855-72877
COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72878-72903
Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72904-72929
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72930-72965
MapDream: Task-Driven Map Learning for Vision-Language Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72966-72976
LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72977-72996
Evidential Reasoning Advances Interpretable Real-World Disease Screening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:72997-73016
Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73017-73029
PLANTAIN: Plan-Answer Interleaved Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73030-73046
Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73047-73068
Geometric Decoupling: Diagnosing the Structural Instability of Latent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73069-73091
An Evidential Route to Asymptotic Bayes Optimality under Sparsity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73092-73141
Causal Representation Learning with Optimal Compression under Complex Treatments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73142-73170
Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73171-73186
CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73187-73207
SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73208-73220
Spike-HTR: Spiking Neural Transformer for Handwritten Text Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73221-73240
AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73241-73257
Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73258-73274
World-Shaper: A Unified Framework for 360\textdegree Panoramic Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73275-73300
PRISM: Learning Realistic Depth via Physics-Grounded Noise Disentanglement with Semantic-Geometric Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73301-73335
Task-Aware Exploration via a Predictive Bisimulation Metric
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73336-73355
M+Adam: Low-Precision Training via Additive–Multiplicative Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73356-73400
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73401-73448
Bottleneck-Guided Spectral Subgoals For Offline Goal-Conditioned RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73449-73471
Implicit Action Chunking for Smooth Continuous Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73472-73501
Strategy Executability in Mathematical Reasoning: Leveraging Human–Model Differences for Effective Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73502-73528
Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73529-73545
FOCUS: DLLMs Know How to Tame Their Compute Bound
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73546-73571
VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73572-73592
Multilingual Safety Alignment Via Sparse Weight Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73593-73610
CL-GCL: Comprehensive and Lightweight Graph Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73611-73630
SceneDirector: Bridging Explicit Geometry and Generative Priors for Unified Driving Scene Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73631-73651
LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73652-73674
UniFLoW: Universal Multi-Modal Federated LoRA Fine-Tuning Framework with Analytical Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73675-73700
Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73701-73718
RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73719-73743
SpikingLM: Towards Fully Spiking Language Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73744-73762
G-RANS: Generalizable Residual-Aware Neural Solvers for Sparse Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73763-73776
Prototype-guided Bilateral Alignment Multimodal Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73777-73804
AlphaRouter: Token-level Routing Between SLM and LLM with Reinforcement Learning and Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73805-73824
VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73825-73845
Frequency Matching in Spiking Neural Networks for mmWave Sensing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73846-73884
Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73885-73899
WaterSIC: Information-Theoretically (Near) Optimal Linear Layer Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73900-73931
L-SR1: Learned Symmetric-Rank-One Preconditioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73932-73955
KIStego: Key-Independent Secure Image Distribution via Bipartite Structural Invariants
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73956-73967
Flow Equivariant World Models: Structured Memory for Dynamic Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:73968-74002
Rethinking Attention in Spiking Transformers: Overcoming Density Bias with Set Similarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74003-74023
QuITE: Query-Based Irregular Time Series Embedding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74024-74052
GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74053-74069
Action Manifold Smoothing: A Lipschitz Pathway Perspective on High-Dimensional Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74070-74088
Empirical Gaussian Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74089-74106
Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74107-74158
Implicit Safety Alignment from Crowd Preferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74159-74191
Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74192-74227
Planar Symmetric Pattern Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74228-74270
RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74271-74289
3D Scene Assertion Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74290-74309
OptMaster: A DAG-Based Framework for Formulation and Heuristic Discovery in Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74310-74327
Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74328-74351
Can Large Language Models Generalize Procedures Across Representations?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74352-74377
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74378-74399
AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74400-74415
AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74416-74438
Unlocking the Potential of Continual Model Merging: An ODE Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74439-74459
ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74460-74478
Learning Treatment Representations for Downstream Instrumental Variable Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74479-74534
SOPE: Situation-Aware and Statistically Indistinguishable Privacy Exfiltration for MCP-enabled Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74535-74559
From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74560-74584
Domain-Shift-Aware Conformal Prediction for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74585-74605
SARSteer: Safeguarding Large Audio Language Models via Safe-Ablated Refusal Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74606-74628
High-Dimensional Sensitivity Analysis for Genomic Studies: An Adversarial Framework for Learning Worst-Case Latent Confounders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74629-74651
Consistency Deep Equilibrium Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74652-74669
BioDynaSpec: Harmonic-Guided Spatio-Spectral Autoregressive Diffusion for Protein Dynamics Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74670-74686
X-MoGe: A Cross-Modal Adaptation Framework with Mixture-of-Experts and Geometry Guidance for Heterogeneous Collaborative Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74687-74696
JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74697-74722
MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74723-74744
MSP: Probabilistically Consistent Multi-Scale Action Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74745-74763
SAGE-NAS: Synergizing LLM-Based Semantic Agent with Graph-Based Evaluator for Neural Architecture Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74764-74799
Adaptive Bandit Algorithms for Contextual Matching Markets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74800-74843
Omitted Variable Bias in Language Models Under Distribution Shift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74844-74860
DyGRO-VLA: Cross-Task Scaling of Vision–Language–Action Models via Dynamic Grouped Residual Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74861-74876
Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74877-74900
DynaMem: Consistent Long Video Generation via Hierarchical Memory and Motion Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74901-74916
CUARewardBench: A Benchmark for Evaluating Reward Models for Computer-Using Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74917-74936
GR-LoRA: Gradient-Recycling Low-Rank Adaptation for Class-Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74937-74955
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74956-74987
TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:74988-75006
Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75007-75038
Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75039-75054
Adversarial Flow Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75055-75080
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75081-75104
EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75105-75160
Periodic Bayesian Flow Networks with Additive Accuracy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75161-75176
Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75177-75192
Design-Based Anytime-Valid Inference for Randomized Experiments with Delayed Outcomes and Staggered Entry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75193-75210
LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75211-75239
3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75240-75261
A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75262-75277
AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75278-75314
You Need Better Attention Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75315-75339
AdaEraser: Training-Free Object Removal via Adaptive Attention Suppression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75340-75359
FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75360-75393
Attacking Gray-Box Large Vision-Language Models with Adaptive SVD-Structured Adversarial Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75394-75418
Opt-Miner: Empowering Information-Seeking Agent with Tree-Guided Data Synthesis for Optimization Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75419-75450
GeoReward: Mitigating Contextual Variable Overestimation in Vision-Language Models for Cross-Market Preference Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75451-75478
Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75479-75506
When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75507-75531
A Unified Sparse Attention via Multi-Granularity Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75532-75548
ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75549-75579
Active Curriculum Refinement for Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75580-75602
Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75603-75623
MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75624-75648
Data Difficulty and the Generalization–Extrapolation Tradeoff in LLM Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75649-75664
Stabilizing Equation Learning via Zero-Point Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75665-75686
World-Model Inspired Emotion-aware Token Refinement for Training-Free Multimodal Emotion Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75687-75697
ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75698-75710
Med-Scout: Curing MLLMs’ Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75711-75739
Beyond Magnitude: Scale-Invariant Evidential Fusion for Multi-View Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75740-75756
Solving Time-Dependent Differential Equations with Physical Dynamical Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75757-75773
Risk-Bounded Distribution Reconstruction: Stable Statistic Calibration for Long-Tailed Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75774-75803
Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75804-75826
GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75827-75842
Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75843-75861
Learning Graph Foundation Models on Riemannian Graph-of-Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75862-75890
Online Conformal Prediction via Universal Portfolio Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75891-75952
Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75953-75977
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:75978-76000
A Task-centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76001-76057
Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76058-76080
Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76081-76115
Test-Time Training with KV Binding Is Secretly Linear Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76116-76135
FedCDWA: Decoupled Federated Prototype Distillation with Hierarchical Wasserstein Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76136-76167
TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76168-76184
Intra-Modal Neighbors Never Lie: Rectifying Inter-Modal Noisy Correspondence via Graph-Based Intra-Modal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76185-76197
BRIDGE: Predicting Human Task Completion Time From Model Performance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76198-76219
From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76220-76235
Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76236-76259
Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76260-76289
NeurVLA: Unleashing Failure-Handling Capability of Vision-Language-Action Models via Neural-Symbolic Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76290-76304
The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76305-76331
PrivCode++: Latent-Conditioned Differentially Private Code Generation for Comprehensive Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76332-76353
ViEEG: Hierarchical Visual Neural Representation for EEG Brain Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76354-76383
LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76384-76408
TGV-KV: Text-Grounded KV Eviction for Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76409-76424
GeoSense: Internalizing Geometric Necessity Perception for Multimodal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76425-76436
$R^3$DAO: Reactive Recovery and Reconstruction for Long-horizon Data Agent Orchestration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76437-76455
Unsupervised Camouflaged Object Detection with Dual-Eigenvector Spectral Pseudo-Labeling and Contrastive Refinement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76456-76471
WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76472-76489
Beyond Additive Decompositions: Interpretability Through Separability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76490-76537
From Backward Spreading to Forward Replay: Revisiting Target Construction in LLM Parameter Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76538-76553
Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76554-76570
CoPE: A Framework for Optimizing Coordination between Planning and Execution in LLM-based Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76571-76601
E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76602-76625
Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76626-76653
HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76654-76672
AIR: Post-training Data Selection for Reasoning via Attention Head Influence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76673-76693
DocOS: Towards Proactive Document-Guided Actions in GUI Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76694-76728
GAE: Unleashing Physical Potential of VLM with Generalizable Action Expert
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76729-76751
ConvexBench: Can LLMs Recognize Convex Functions?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76752-76766
The Appeal and Reality of Recycling LoRAs with Adaptive Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76767-76793
Accelerating Regression Tasks with Quantum Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76794-76813
CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76814-76831
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76832-76854
LARA: Latent Action Representation Alignment for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76855-76870
Clipping Low-Probability Tokens in SFT Yields a Generalizable Initialization for RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76871-76896
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76897-76930
How does Bayesian Sampling help Membership Inference Attacks?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76931-76955
TopoDistill: Distilling Global System Topology for Causal Discovery in Multivariate Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76956-76979
SpeedCP: Fast Kernel-based Conditional Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:76980-77027
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77028-77076
Continual GUI Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77077-77092
Inverse Depth Scaling From Most Layers Being Similar
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77093-77118
Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77119-77140
Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77141-77187
Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77188-77201
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77202-77225
Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77226-77245
Random Selection Reveals Implicit Knowledge Consensus in Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77246-77262
Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77263-77284
Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77285-77297
Geometric Rate–Distortion Invariance for Domain Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77298-77343
Hom-PGD$^+$: Fast Reparameterized Optimization over Non-convex Ball-Homeomorphic Set
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77344-77386
Geometric Pocket-Centric Protein Encoding for Polypharmacology-Guided Multi-Target Drug Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77387-77401
Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77402-77437
HSGG: Training-Free Hierarchical Scene Graph Generation with Geometry-Guided Relation Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77438-77457
LaST$_0$: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77458-77480
CAST: Modeling Visual State Transitions for Consistent Video Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77481-77498
Causal Dependency-Aware Unsupervised Routing for Large Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77499-77512
XYZFlow: Scaling Multidimensional Shortcut Flows for Efficient Generative Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77513-77528
Universal One-third Time Scaling in Learning Peaked Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77529-77558
Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77559-77583
UniDrag: Unified Multi-Field Prediction and Robust Shape Optimization for Vehicle Aerodynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77584-77612
SAGE: A Dataflow-Native Framework for Modular, Controllable, and Transparent LLM-Augmented Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77613-77638
Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77639-77659
SLASH the Sink: Sharpening Structural Attention Inside LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77660-77682
Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77683-77700
The Geometry of Narrow Fine-Tuning Degradation: Trajectory Lock-in and Spectral Bifurcation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77701-77727
TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77728-77771
BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77772-77806
Latent Thoughts Tuning: Bridging Context and Reasoning with Fused Information in Latent Tokens
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77807-77827
WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77828-77850
Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77851-77866
ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77867-77886
Midtraining Bridges Pretraining and Posttraining Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77887-77912
Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77913-77928
Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77929-77951
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77952-77969
Post-Training Language Models for Crosslingual Consistency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77970-77994
On Effectiveness and Efficiency of Agentic Tool-calling and RL Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:77995-78008
From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide ML Interatomic Potential Architectures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78009-78027
PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78028-78065
TimeLAVA: Learning-Agnostic Valuation for Time Series Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78066-78099
ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78100-78123
Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78124-78143
Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78144-78189
FairMerging: Rethinking Model Merging through the Lens of Fairness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78190-78215
Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78216-78247
PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78248-78273
LIF Recurrent Memory Enables Long-Horizon Spiking Computation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78274-78292
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78293-78310
Hyperbolic Multimodal Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78311-78343
XPERT: Expert Knowledge Transfer for Effective Training of Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78344-78358
SRPO: Self-Reflective Policy Optimization for Long-Horizon Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78359-78388
RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78389-78415
AlignVid: Taming Visual Dominance via Training-Free Attention Modulation in Text-guided Image-to-Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78416-78453
Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78454-78464
Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78465-78499
SimpleMem: Efficient Lifelong Memory for LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78500-78513
Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78514-78536
Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78537-78565
JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78566-78578
Resolving Blind Inverse Problems under Dynamic Range Compression via Structured Forward Operator Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78579-78596
TiME: Test-Time Mixture-of-Experts Routing via Asymmetric CO-Optimal Transport for Continual Test-Time Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78597-78632
Estimating Correlation Clustering Cost in Node-Arrival Stream
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78633-78647
Pseudo-Mallows for Efficient Probabilistic Preference Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78648-78680
Scaling Inference-Time Computation via Opponent Simulation: Enabling Online Strategic Adaptation in Repeated Negotiation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78681-78704
HVAE: Hyperbolic Variational Autoencoder For Flexible Knowledge Transfer Across Multiple Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78705-78723
Condition Number Based Low-Bit Quantization for Image Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78724-78737
STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78738-78753
VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78754-78776
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78777-78807
Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78808-78849
From Denoising to De-Channeling: Integrating Physical Channel Priors into Diffusion Models for Radio Signal Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78850-78867
AnalogVerifier: A Neuro-Symbolic Framework for Analog Circuit Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78868-78924
Rethinking 3D Shape Generation: Diffusion over Superquadrics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78925-78942
Ramba: Selective State-Space Models for Relational Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78943-78967
Causal Disentangled Anchor Learning for Scalable Fair Multi-view Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78968-78983
Decoupling Universal Laws and Environmental Heterogeneity: A Physics-Inspired Framework for Robust Spatio-Temporal Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:78984-79008
From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79009-79028
TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79029-79049
Beyond Reactivity: Proactive Adaptive Conformal Inference for Online LLM Factuality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79050-79072
Distillation Models are Good Samplers for Diffusion Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79073-79097
Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79098-79139
Calibrated Multimodal Representation Learning with Missing Modalities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79140-79160
Cardio-mmFlow: A Gaussian-Prior-Free Physics-Informed Flow Matching Framework for Electrocardiogram to mmWave Radar Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79161-79177
MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79178-79197
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79198-79215
Clipped Q-Learning: Your Value Clipping Is Secretly A Robust Operator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79216-79252
CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79253-79274
Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79275-79291
Sparse Relaxed-Lasso Steering: Automatic Sparse Autoencoder Feature Selection for Precise Image Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79292-79319
Anchor-Final Self-Supervision Drives Hallucination-Aware Optimization in Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79320-79334
M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79335-79353
Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79354-79376
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79377-79393
Diffuse to Detect: Bi-Level Sample Rebalancing with Pseudo-Label Diffusion for Point-Supervised Infrared Small-Target Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79394-79413
Lookahead Path Likelihood Optimization for Diffusion LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79414-79440
FlowCloud: Learning Continuous Spatiotemporal Dynamics from Unpaired Sparse Point Cloud Snapshots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79441-79462
TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79463-79479
SafeHarbor: Defining Precise Decision Boundaries via Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79480-79499
When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79500-79519
Beyond Procedure: Substantive Fairness in Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79520-79563
Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79564-79597
Resolution as a Direction: Vector-Panning Feature Alignment for Cross-Resolution Re-Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79598-79614
Krause Synchronization Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79615-79647
Provable Training Data Identification for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79648-79674
Improving Backward Conformal Prediction via Non-Conformity Score Transformation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79675-79700
Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79701-79718
UniRTL: Unifying Code and Graph for Robust RTL Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79719-79739
ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79740-79764
From Retrieval to Translation: Translating Query into Graph-level Clues for Retrieval-Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79765-79796
TodoEvolve: Learning to Architect Agent Planning Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79797-79814
RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79815-79839
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79840-79854
Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79855-79876
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79877-79906
Hierarchical Representations for Cross-task Automated Heuristic Design using LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79907-79941
Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79942-79959
ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79960-79996
SaTeen: Learning Structural Alignment for Continual Test-Time Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:79997-80022
Balancing Understanding and Generation in Discrete Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80023-80057
Adaptive DNA Sequence Modeling via Synergistic Plasticity Units
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80058-80077
MMBench-Live: A Continuously Evolving Benchmark for Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80078-80112
Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80113-80145
VlogReward: Learning Multi-Dimensional Evaluation for Vlog Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80146-80169
Radial Scaling Voxelization for Accurate Small Object 3D Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80170-80182
Rethinking Multimodal Time-Series Forecasting Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80183-80283
Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80284-80297
Partitioning for Intrinsic Model Inversion Resistance in Collaborative Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80298-80334
SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80335-80353
FastSESR: Fast Scene-level Explicit Surface Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80354-80369
Position Is All You Need: A Free Lunch Token Compression Strategy for MLLM-based Referring Expression Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80370-80382
Conf-Gen: Conformal Uncertainty Quantification for Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80383-80412
Semi-knockoffs: a model-agnostic conditional independence testing method with finite-sample guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80413-80446
Textual Supervision Enhances Geospatial Representations in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80447-80475
SpatialReward: Bridging the Perception Gap in Online RL for Image Editing via Explicit Spatial Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80476-80505
Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80506-80529
FLARE-AI: Flaw Reporting for AI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80530-80560
Learning Biophysical Models of Large-Scale Multineuronal Data To Enable Precise Neurostimulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80561-80598
Predicting What Matters: Robust Generalist Robot Policy Learning via Future Semantic Mask
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80599-80614
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80615-80631
Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80632-80649
Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80650-80666
SLQ: Bridging Modalities via Shared Latent Queries for Retrieval with Frozen MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80667-80687
WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80688-80704
DataGuard: A Non-intrusive Dataset Auditing Framework via Differential Information Forensics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80705-80727
MoST: Mixing Speech and Text with Modality-Aware Mixture of Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80728-80745
Parameters as Experts: Adapting Vision Models with Dynamic Parameter Routing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80746-80763
Structure-aware Granular-Ball based Information Bottleneck for Multi-modal Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80764-80774
TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80775-80808
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80809-80824
PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80825-80845
DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80846-80862
Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80863-80892
MixReasoning: Switching Modes to Think
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80893-80911
SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80912-80954
The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:80955-81003
PASO: Step Parallel Stochastic Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81004-81052
VisualScore: Learning Holistic Visual Quality Scores via Multi-Task Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81053-81073
Semantic Granularity Navigation in Image Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81074-81104
Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81105-81119
Improving Diffusion Planners by Self-Supervised Action Gating with Energies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81120-81144
Learn to change the world: Multi-level reinforcement learning with model-changing actions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81145-81165
Experience Augmented Policy Optimization for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81166-81177
PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81178-81196
Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81197-81211
Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81212-81235
AffIn-Space: Learning Affine-Invariant Representations for 3D Spatial Understanding with MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81236-81246
Information-Geometric Adaptive Sampling for Graph Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81247-81264
One-step Latent-free Image Generation with Pixel Mean Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81265-81277
Interpretable Functional Koopman Learning with Non-Markovian Closure for Spatiotemporal Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81278-81322
Dynamic Stratified Contrastive Learning with Upstream Augmentation for MILP Branching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81323-81345
ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81346-81370
An Exterior Method for Nonnegative Matrix Factorization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81371-81404
Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81405-81430
De-attribute to Forget for LLM Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81431-81453
FedARC: Anchor-Guided Residual Compensation for Data and Model Heterogeneous Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81454-81477
FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81478-81512
Safety Anchor: Defending Harmful Fine-tuning via Geometric Bottlenecks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81513-81530
On Densest $k$-Subgraph Mining and Diagonal Loading: Optimization Landscape and Finite-Step Exact Convergence Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81531-81549
Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81550-81568
Calibrating Uncertainty for Zero-Shot Adversarial CLIP
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81569-81587
Context Tuning for In-Context Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81588-81608
Conditionally Site-Independent Neural Evolution of Antibody Sequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81609-81636
Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81637-81658
Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81659-81687
SI-IGCL: Subject Invariance-aware Inverse Graph Contrastive Learning for Psychiatric Disorder Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81688-81707
Return-Critic: Bridging Goal Discrepancy for Efficient Visual Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81708-81729
Generative Augmented Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81730-81751
Divisiveness-Consistent Label Distribution Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81752-81765
World Models in Pieces: Structural Certification for General Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81766-81795
FedScar: Correcting Geometric Bias for Flatness-Consistent Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81796-81823
HyperMLP: An Integrated Perspective for Sequence Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81824-81879
HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81880-81891
DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81892-81909
GIPO: Gaussian Importance Sampling Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81910-81931
Little By Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81932-81960
COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81961-81985
EpiCoCo: De Novo Epitope Generation via MHC-Context Co-Modeling and Contrastive Affinity Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:81986-82003
Instance-Specific Approximation Ratios for Correlation Clustering and Max-Cut
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82004-82022
Model Fusion via Retrofitting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82023-82048
LassoFlexNet: a Flexible Neural Architecture for Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82049-82101
ECSEL: Explainable Classification via Signomial Equation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82102-82140
Regret Minimization With a Crowd of Awakening Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82141-82157
A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82158-82176
Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82177-82195
Boosting CVaR Policy Optimization with Quantile Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82196-82219
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82220-82240
Learning a Generative Meta-Model of LLM Activations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82241-82264
Vision-Language-Action Pretraining from Large-Scale Human Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82265-82293
Graph of States: Solving Abductive Tasks with Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82294-82314
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82315-82329
Ratio-Variance Regularized Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82330-82350
D$^2$O: A Dual Debiasing Operator for Training-Free Test-Time Adaptation of Vision–Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82351-82381
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82382-82399
AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82400-82458
Physically-Guided Data-Space Rectified Flow for Precipitation Nowcasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82459-82490
TarGATE: Target-Aware Data Selection via Token-Attenuation Gates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82491-82515
Vision Language Models Cannot Reason About Physical Transformation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82516-82544
DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82545-82556
IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82557-82584
Task-and-Model-Aware Fractal-Consistency for Efficient LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82585-82602
TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82603-82636
SimGFM: Simplifying Discrete Flow Matching for Graph Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82637-82661
CentaurEval: Benchmarking Human-in-the-Loop Value in Agentic Coding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82662-82703
Principled RL for Flow Matching Emerges from the Chunk-level Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82704-82722
DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82723-82738
A Risk Decomposition Framework for Pre-hoc Fine-tuning Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82739-82767
Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82768-82785
ACO-MoE-LoRA: Evolving-while-Training for Adapting Segment Anything Model 2 to Specialized Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82786-82805
Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82806-82832
Utility Boundary of Dataset Distillation: Scaling and Coverage Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82833-82897
STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics–Physics Dual System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82898-82916
ProConMV: Provenance-Enabled Conceptual Framework for Interpretable Multi-View Diabetic Retinopathy Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82917-82931
Closing the Loop: Universal Repository Representation with RPG-Encoder
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82932-82965
Causal Matrix Completion under Multiple Treatments via Mixed Synthetic Nearest Neighbors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82966-82995
MotionMAR: Multi-scale Auto-Regressive Human Motion Reconstruction from Sparse Observations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:82996-83016
SABER: Continual Learning with Representation Conflict Management
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83017-83033
SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83034-83083
UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83084-83136
CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83137-83168
MICE-Bench: A Challenging and Comprehensive Benchmark for Multi-Reference Image Creation and Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83169-83197
4RC: 4D Reconstruction via Conditional Querying Anytime and Anywhere
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83198-83214
Mitigating Gradient Pathology in PINNs through Aligned Constraint
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83215-83247
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83248-83283
The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83284-83323
Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83324-83347
Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83348-83379
Video-Based Optimal Transport for Feedback-Efficient Offline Preference-Based Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83380-83402
DC-LA: Difference-of-Convex Langevin Algorithm
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83403-83450
Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83451-83474
The Hidden Link between RLHF and Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83475-83496
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Material Structures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83497-83523
SCalDA: Semantics-Calibrated and Diffusion-Enhanced Data Augmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83524-83535
FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83536-83555
Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83556-83573
Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83574-83602
When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83603-83630
Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83631-83652
Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83653-83672
SHARP-Q: Spectral Hessian Alignment and Rectification for Post-training Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83673-83691
Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83692-83705
When Labelers Stay Silent: The Power of Ties in Cost-Effective Preference Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83706-83723
NaviCache: Test-Time Self-Calibration Caching for Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83724-83737
Faster Activation Functions at the Edge for Post-Training Speedups
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83738-83750
General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83751-83769
LAST: Bridging Vision-Language and Action Manifolds via Gromov-Wasserstein Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83770-83790
QiMeng-ChipV-RTL: Exploiting Information Locality for IP-level Verilog Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83791-83818
Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83819-83868
Efficiently Solving Discounted MDPs via Predictions with Unknown Prediction Errors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83869-83889
Debiased Model-based Representations for Sample-efficient Continuous Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83890-83927
On the Intrinsic Limits of Transformer Image Embeddings in Non-Solvable Spatial Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83928-83944
Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm That Provably Exploits Model Similarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83945-83983
Explaining Concept Shift with Interpretable Feature Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:83984-84005
Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84006-84029
The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84030-84054
SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84055-84075
Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84076-84091
Efficiently Learning Drifting Halfspaces with Massart Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84092-84122
$μ$pscaling small models: Principled warm starts and hyperparameter transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84123-84176
Convolutional Learnable-Group Weightless Neural Network
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84177-84194
More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84195-84250
Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84251-84266
Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84267-84306
AC-ODM: Actor–Critic Online Data Mixing for Sample-Efficient LLM Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84307-84325
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84326-84370
Coupled Trigger Optimization and Vulnerable Parameter Alignment for Persistent Backdoor Attacks on Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84371-84388
SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84389-84427
Evolving Quantitative Reasoning through Self-Play in Digital Twin Markets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84428-84445
Domain Adaptive Object Detection via Dynamic Causal Refinement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84446-84464
Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84465-84486
Episodic Memory-Guided Controllable Experience Synthesis for Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84487-84505
FIRE: Learning to Navigate and Act on Real-World Files via Stateful Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84506-84541
FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84542-84568
What Makes Value Learning Efficient in Residual Reinforcement Learning?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84569-84601
The Hidden Risk: Membership Inference Attacks on Multimodal Federated Learning via Modality Imbalance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84602-84618
FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84619-84640
Do Sparse Autoencoders Identify Reasoning Features in Language Models?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84641-84688
Angel or Demon: Investigating the Plasticity Interventions’ Impact on Backdoor Threats in Deep Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84689-84719
Bio-Vision-Inspired Spiking Neural Networks for Object Detection with Event Cameras
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84720-84738
A$^2$RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84739-84765
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84766-84779
Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84780-84806
Breaking the Capacity Bottleneck in Model-Heterogeneous Federated Learning via Gradual Model Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84807-84845
Dual-Latent Memory Routing for Vision-Language Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84846-84862
Non-Monotonic Autoregressive Sequence Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84863-84882
No Retraining at Edge: Efficient Resource-Aware Mixed-Precision Quantization via Federated Supernet Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84883-84899
Feature Bagging Provides Stability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84900-84952
Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84953-84968
Addressing Semantic Blind Spots in Text-to-SQL via Component Pre-generation and AST Matching Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84969-84988
AlignedNorm: Prompting Vision–Language Models via Coupled Prompt Field
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:84989-85009
Seeking Commonality, Preserving Specificity: A Spectral-Aware Hierarchical Framework for Cross-City Road Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85010-85028
FAB: A First-Order AB-based Gradient Algorithm for Distributed Bilevel Optimization over Time-Varying Directed Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85029-85079
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85080-85098
CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85099-85130
ScaleMoE: Mixture-of-Experts for Scalable Continuous Control in Actor-Critic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85131-85158
Reliable Neighborhood-Aware Multi-View Outlier Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85159-85170
Can LLM Agents Stick to the Script? A Benchmark for Long-Horizon Consistency in Interactive Narratives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85171-85192
Learning Generalized Trackers with Elastic Token Budgets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85193-85207
PolyFlow: Safe and Efficient Polytope-Constrained Flow Matching with Constraint Embedding and Projection-free Update
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85208-85237
What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85238-85261
Reflector: Internalizing Step-wise Reflection against Indirect Jailbreaks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85262-85283
CodeMamba: Shifting from Target Semantics to Self-Supervised Background Manifold Learning for Singularity Detection in Infrared Sequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85284-85298
Scaling Agentic Verifier for Competitive Coding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85299-85319
Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85320-85343
Trifuse: Enhancing Attention-Based GUI Grounding via Multimodal Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85344-85363
Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85364-85389
Scalable Traffic Signal Control with Shared Policy Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85390-85402
Mechanisms of Introspective Awareness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85403-85429
MACKO: Sparse matrix-vector multiplication for low sparsity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85430-85445
Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85446-85462
Rethinking Thinking Tokens: LLMs as Improvement Operators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85463-85482
Inference-time optimization for experiment-grounded protein ensemble generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85483-85523
HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85524-85547
Collaborative and Efficient Fine-tuning: Leveraging Task Similarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85548-85597
Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85598-85668
Scaling Generative Verifiers For Natural Language Mathematical Proof Verification And Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85669-85698
Joint-Embedding Predictive Learning of Latent Market States in U.S. Equities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85699-85720
Correcting Overparameterization Effects in Fair Empirical Risk Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85721-85745
Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85746-85781
Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85782-85827
Reward Shaping Control Variates for Off-Policy Evaluation Under Sparse Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85828-85852
TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85853-85893
Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85894-85924
MacroGuide: Topological Guidance for Macrocycle Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85925-85968
EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:85969-86001
MADE: Benchmark Environments for Closed-Loop Materials Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86002-86026
Directly Optimizing Natural Language Explanations for Behavioral Faithfulness: Simulatability and Recoverability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86027-86043
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86044-86079
Turbo4DGen: Ultra-Fast Acceleration for 4D Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86080-86096
The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86097-86142
Distributionally Robust Reinforcement Learning from Human Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86143-86171
PPDL: LLM-Based Flows as Probabilistic Programs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86172-86197
DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86198-86213
Beyond Softmax: A Natural Parameterization for Categorical Random Variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86214-86236
SWING: Unlocking Implicit Graph Representations for Graph Random Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86237-86254
FrontierCS: Evolving Challenges for Evolving Intelligence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86255-86277
Few-Shot Design Optimization by Exploiting Auxiliary Information
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86278-86295
No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86296-86335
Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86336-86356
Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86357-86376
Rethinking the Hardness of PbRL: A Provable General Regret Bound
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86377-86409
BFCL Audio: An Audio Function Calling Evaluation for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86410-86428
Identifying Learnwares via Reduced Neural Conditional Mean Embedding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86429-86447
SEPS: Semantic-Enhanced Patch Slimming Framework for Fine-Grained Cross-Modal Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86448-86457
TriAttention: Efficient Long Reasoning with Trigonometric KV Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86458-86477
TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86478-86517
LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86518-86539
SAEs-BrainMap: Unveiling the Emergence of Specialized Concepts in Deep Models via Brain Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86540-86565
Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86566-86598
STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity Attack
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86599-86618
From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86619-86681
Quantifying Frontier LLM Capabilities for Container Sandbox Escape
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86682-86713
Sequential Group Composition: A Window into the Mechanics of Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86714-86738
NetDiff: Graph Diffusion with Improved Global Capabilities to Generate and Update Mobile Network Topologies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86739-86751
PHALAR: Phasors for Learned Musical Audio Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86752-86767
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86768-86783
Benchmarking at the Edge of Comprehension
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86784-86816
OC-space: a Unifying Perspective on Verification of Tree Ensembles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86817-86836
Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86837-86878
Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86879-86901
Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86902-86915
This State Looks Like That: Self-Interpretable Reinforcement Learning Agents using Prototype Soft Actor-Critic
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86916-86930
1-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86931-86953
Goal-Conditioned Agents that Learn Everything All at Once
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86954-86990
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:86991-87067
Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87068-87096
Generalization and Scaling Laws for Mixture-of-ExpertsTransformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87097-87134
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87135-87185
BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87186-87203
Walrus: A Cross-domain Foundation Model for Continuum Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87204-87250
CLAA: Cross-Layer Attention Aggregation for Accelerating LLM Prefill
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87251-87266
Optimizing Rank for High-Fidelity Implicit Neural Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87267-87296
Endogenous Resistance to Activation Steering in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87297-87324
Positive Distribution Shift as a Framework for Understanding Tractable Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87325-87358
BioToken and BioFM – Biologically-Informed Tokenization Enables Accurate and Efficient Genomic Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87359-87385
Fractional is Better: Learnable Derivative Orders in Neural Operator Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87386-87417
Improving Adversarial Robustness of Attribution via Implicit Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87418-87456
Head-in-Head in Linear Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87457-87476
What Language is This? Ask Your Tokenizer.
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87477-87493
Needles in the Haystack: Addressing Signal Dilution Improves scRNA-seq Perturbation Response Modeling and Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87494-87511
SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87512-87540
ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87541-87580
Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87581-87611
Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87612-87638
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87639-87657
FunCQNet: A Functional Censored Quantile Neural Network for Predicting Long-Term Post-Transplant Kidney Survival
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87658-87679
DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87680-87713
A Solvable High-Dimensional Model Where Nonlinear Autoencoders Learn Structure Invisible to PCA While Test Loss Misaligns With Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87714-87758
Making Expert Reasoning Learnable with Self-Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87759-87779
Supervised Classification Heads as Semantic Prototypes: Unlocking Vision-Language Alignment via Weight Recycling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87780-87804
GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87805-87821
Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87822-87834
Watermarking LLM Agent Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87835-87857
Fair-FedMOE: Group-Fair One-Shot Federated Learning via Prototype-Guided Experts for Medical Imaging Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87858-87881
DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87882-87957
Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87958-87979
PhenoBrain: Phenotype-Conditioned Long-Range Communication for Multi-Modal Brain Network Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87980-87992
Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:87993-88018
WhisperSplat: Lossless Steganography in 3D Gaussian Splatting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88019-88037
Deep Coupling Learning for Solving PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88038-88056
Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88057-88076
Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88077-88110
Small Agent Group is the Future of Digital Health
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88111-88130
PoMtVRS: Preference-Optimized Multi-Task Vehicle Routing Solver with Preference Gating
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88131-88154
Distinguishing Imitation Error from Intrinsic Motion Learning Difficulty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88155-88173
Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88174-88205
Divergence Decoding: Inference-Time Unlearning via Auxiliary Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88206-88229
Why Are Linear RNNs More Parallelizable?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88230-88260
Guided Star-Shaped Masked Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88261-88286
Low-Compute Watermark Removal via Dual-Domain Natural Projection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88287-88299
Particles Don’t Care About Z: Towards Scaling Entropy Estimation of Unnormalized Densities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88300-88365
Adaptive Time Series Reasoning via Segment Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88366-88387
Out-of-Distribution Evaluation of Rule-Based and Strategic Reasoning in Chess Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88388-88406
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88407-88445
How Many Different Outputs Can a Transformer Generate?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88446-88475
Proximal Splitting Methods for Hybrid Differentiable Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88476-88488
Learning Robust Multi-Agent Policies via Selective Adversarial Fault Induction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88489-88520
Effective MoE-based LLM Compression by Exploiting Heterogeneous Inter-Group Experts Routing Frequency and Information Density
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88521-88534
Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88535-88553
Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88554-88573
Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88574-88595
Correctness-Optimized Residual Activation Lens (CORAL): Transferable and Calibration-Aware Inference-Time Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88596-88614
Selective Deferred Routing: Enabling Cost-Efficient Collaboration between Local SLMs and Remote LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88615-88636
Adaptive Token Refinement in Long-Tailed Large Vision-Language Models Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88637-88649
DITING: A Weak Degradation Listener for Battery Lifetime Early Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88650-88670
LLM-MatLogic: Executable Exchange Contracts for Knowledge-Graph Query Answering with Scoped Negation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88671-88691
Riemannian Neural Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88692-88751
Learning to Rank from Incomplete Rankings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88752-88788
Understanding Self-Supervised Learning via Latent Distribution Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88789-88820
Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88821-88836
Particle-Guided Diffusion Models for Partial Differential Equations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88837-88865
SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88866-88885
GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88886-88912
Bridging Dynamics and Data: A Unified Diffusion Framework for Mechanistically-Informed Epidemic Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88913-88934
Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88935-88963
Stable Localized Conformal Prediction via Transduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88964-88989
GEM: Geometric Entropy Mixing for Optimal LLM Data Curation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:88990-89010
Compass-RoPE: Isotropic Rotary Position Embeddings for Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89011-89028
Draft-and-Audit Reinforcement Learning for Optimization Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89029-89051
Emergent Analogical Reasoning in Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89052-89081
ProtoKV: Streaming Video Understanding under Delayed Query with Summary-State Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89082-89101
UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89102-89133
Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89134-89155
UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89156-89172
CoRe: Collaborative Reasoning via Cross Teaching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89173-89192
Neuro-Fuzzy Concept Learning for Interpretable Large Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89193-89216
Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89217-89263
Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89264-89282
Dreaming in Code for Curriculum Learning in Open-Ended Worlds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89283-89375
Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89376-89420
Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89421-89445
Entangled No More: Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89446-89482
Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89483-89507
Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89508-89525
Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89526-89560
MapUQ: Map with Uncertainty Quantification for Robust BEV Vectorized Construction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89561-89578
Open-World LLM Logical Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89579-89606
A geometric relation of the error introduced by sampling a language model’s output distribution to its internal state
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89607-89619
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89620-89636
Safe In-Context Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89637-89655
d$^2$p: Structured Soft Attention Is All You Need
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89656-89734
GEM-FI: Gated Evidential Mixtures with Fisher Modulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89735-89757
Interpreting and Steering State-Space Models via Activation Subspace Bottlenecks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89758-89795
Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89796-89815
Counterfactual Residual Data Augmentation for Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89816-89840
Rational Transductors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89841-89876
Next-Token Prediction and Regret Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89877-89896
Distributional Alignment Games for Answer-Level Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89897-89919
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89920-89946
Mind the Gap: Structure-Aware Consistency in Preference Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89947-89972
Revisiting Neural Processes via Fourier Transform and Volterra Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:89973-90018
Landmark-Guided Policy Optimization for Multi-Objective Language Model Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90019-90040
Reusing Trajectories in Policy Gradients Enables Fast Convergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90041-90082
Reduction of Probabilistic Chemical Reaction Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90083-90117
How Should Transformers Encode Numeric Values in Electronic Health Records?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90118-90133
On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90134-90171
Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90172-90190
ToaSt: Token Channel Selection and Structured Pruning for Efficient ViT
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90191-90212
Understanding Dynamic Compute Allocation in Recurrent Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90213-90231
Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-Motion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90232-90250
IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90251-90270
Probing the Geometry of Diffusion Models with the String Method
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90271-90294
Spectral Guidance for Flexible and Efficient Control of Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90295-90322
Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90323-90347
On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90348-90365
Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90366-90391
How much can language models memorize?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90392-90411
Compositional Generative Modeling from Decentralized Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90412-90424
Incremental Transformer Neural Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90425-90469
Learning to Evict from Key-Value Cache
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90470-90496
Fair Dataset Distillation via Cross-Group Barycenter Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90497-90523
Causal Detection of Multi-Step LLM Agent Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90524-90544
LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90545-90579
SpatialJB: How Text Distribution Art Becomes The "Jailbreak Key" for LLM Guardrails
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90580-90608
Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90609-90630
Imposing Boundary Conditions on Neural Operators via Learned Function Extensions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90631-90679
Post-Training with Policy Gradients: Optimality and the Base Model Barrier
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90680-90713
Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90714-90761
Calibrated Knowledge Aggregation in Bayesian Mixture-of-Experts for Continual VQA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90762-90782
PepCompass: Navigating Peptide Embedding Spaces Using Riemannian Geometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90783-90820
Reinforcement Learning with Verifiable Rewards: GRPO’s Loss, Dynamics, and Success Amplification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90821-90847
On the Convergence Rate of LoRA Gradient Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90848-90866
DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90867-90893
Federated Manifold Learning (FML): Tackling Domain Heterogeneity with Structural Knowledge Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90894-90909
Multi-Integration of Labels Across Categories for Component Identification in Multi-trial Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90910-90964
Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:90965-91005
UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91006-91063
When Does Sparsity Mitigate the Curse of Depth in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91064-91094
BOCLOAK: Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91095-91139
Latent Diffusion Pretraining for Crystal Property Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91140-91161
Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91162-91179
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91180-91199
WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91200-91229
LAPRAS : Learning-Augmented PRivate Answering for linear query Streams.
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91230-91247
Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91248-91275
Scaling Laws and Architectural Frontiers in Metagenomic Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91276-91292
Terminal Dimension Reduction for Time Series with Applications
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91293-91337
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91338-91362
GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91363-91389
Flowers: A Warp Drive for Neural PDE Solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91390-91418
Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91419-91445
Interleaved Selective State Space Models for Efficient WiFi-Based 3D Multi-Person Pose Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91446-91467
ITSPACE: Monotone Gaussian Optimal Transport Updates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91468-91488
Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91489-91508
Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91509-91536
How does Chain of Thought decompose complex tasks?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91537-91557
Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91558-91582
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91583-91610
Accelerating Q-learning through Efficient Value-Sharing across Actions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91611-91632
Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91633-91661
Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91662-91682
Interpreting Genomic Language Models using Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91683-91710
Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91711-91727
Aitchison Embeddings for Learning Compositional Graph Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91728-91744
FOAM: Frequency and Operator-Error Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91745-91781
Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91782-91807
Causal-JEPA: Learning World Models through Object-Level Latent Masking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91808-91832
HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91833-91861
The Invisible Lottery: How Subtle Cues Steer Algorithm Choice in LLM Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91862-91881
Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91882-91931
One Probe Won’t Catch Them All: Towards Targeted Deception Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91932-91947
Learning Dynamic Stability Landscapes in Synchronization Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91948-91969
Adaptive Node Feature Selection for Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:91970-92007
A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn’t)
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92008-92043
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92044-92096
CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92097-92121
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92122-92154
Universal Representation of Generalized Convex Functions and their Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92155-92169
Toward Identifiable Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92170-92187
DocVAL: Validated Chain-of-Thought Distillation for Grounded Document VQA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92188-92206
Online Fair Division with Additional Information
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92207-92241
TabMGP: Martingale Posterior with TabPFN
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92242-92277
Error-Driven Graph Augmentation for Mesh-Based PDE Surrogates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92278-92315
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92316-92349
An analytic theory of convolutional neural network inverse problems solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92350-92393
Tuning-Free One-Class Discriminant Learning for Tabular Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92394-92438
Batch Normalization for Neural Networks on Complex Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92439-92465
PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92466-92496
TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92497-92540
CUPID in the Model Zoo: Online Matchmaking for Selecting Your Dream LLM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92541-92578
Push, Pop, Parallelize: Stack-Augmented Linear Attention via the Delta Rule
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92579-92592
Causal-aware Anomaly Detection for Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92593-92609
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92610-92635
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92636-92658
Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92659-92673
What LLMs Explain Is Not What They Believe: Evaluating Explanation Sufficiency Under Models’ Own Input Beliefs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92674-92699
Streaming Sliced Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92700-92720
Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92721-92739
Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92740-92754
Gradient Transformer: Learning to Generate Updates for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92755-92775
Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92776-92801
MuonSSM: Orthogonalizing State Space Models for Sequence Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92802-92823
Reviving Error Correction in Modern Deep Time-Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92824-92850
Exact Unlearning in Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92851-92874
Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92875-92924
Possibilistic Predictive Uncertainty for Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92925-92944
Constrained Meta Reinforcement Learning with Provable Test-Time Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92945-92974
CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:92975-92999
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93000-93015
A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93016-93031
DSGym: A Holistic Framework for Evaluating and Training Data Science Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93032-93069
KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93070-93121
Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93122-93143
Logit Distance Bounds Representational Similarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93144-93190
Asymmetric Contrastive Objectives for Efficient Phenotypic Screening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93191-93211
ECO: Quantized Training without Full-Precision Master Weights
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93212-93231
Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93232-93261
InvGNN: Learning Invertible Node Representations on Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93262-93282
Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93283-93305
Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93306-93326
V-ABS: Action-Observer Driven Beam Search for Dynamic Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93327-93345
When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93346-93375
UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93376-93421
Beyond Heuristics: Learnable Density Control for 3D Gaussian Splatting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93422-93438
Log-Normal Multiplicative Dynamics for Stable Low-Precision Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93439-93456
Inference-time Alignment with Rewards in Besov Spaces: Provable Advantages of Feature Learning and Multi-Step Policy Updates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93457-93506
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93507-93538
From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93539-93556
Stem: Rethinking Causal Information Flow in Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93557-93569
WISE: World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93570-93590
MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93591-93624
Flexibility-Aware Geometric Latent Diffusion for Full-Atom Peptide Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93625-93649
gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93650-93665
Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93666-93695
Mesh Field Theory: Port–Hamiltonian Formulation of Mesh-Based Physics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93696-93724
QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93725-93746
Multi-Round Human–AI Collaboration with User-Specified Requirements
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93747-93776
Human-AI Collaborative Uncertainty Quantification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93777-93800
Deep sequence models tend to memorize geometrically; it is unclear why
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93801-93862
Resilient Coresets and Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93863-93882
MVR-cache: Optimizing Semantic Caching via Multi-Vector Retrieval and Learned Prompt Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93883-93907
MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93908-93938
Grokking Finite-Dimensional Algebra
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93939-93975
A Unified Framework for Diffusion Model Unlearning with f-Divergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:93976-94016
ABCD: All Biases Come Disguised
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94017-94047
An Algebraic View of the Expressivity of Recurrent Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94048-94075
GAUSS: Graph-Assisted Uncertainty Quantification using Structure and Semantics for Long-Form Generation in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94076-94102
Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94103-94125
Beyond Hamming: Query-Aware Decoding of Binary Cosine Sketches
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94126-94143
Gaussian Mean Field Variational Inference can Overestimate Predictive Variance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94144-94165
Vision Transformer Finetuning Benefits from Non-Smooth Components
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94166-94225
Towards Diffeomorphism-Equivariant Neural Networks via Canonicalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94226-94255
Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94256-94289
CSOR: Coreset Selection for Object Re-identification via Class Pruning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94290-94307
Contextualized Visual Personalization in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94308-94343
Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94344-94382
From Correspondence to Actions: Human-Like Multi-Image Spatial Reasoning in Multi-modal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94383-94399
Autoregressive Direct Preference Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94400-94419
Neuro-Symbolic AI for Analytical Solutions of Differential Equations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94420-94451
Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94452-94478
Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94479-94504
Emergence of Biased Consensus in Multi-Agent LLM Debates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94505-94527
Emergence of Hierarchical Emotion Organization in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94528-94549
Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94550-94563
Distortion of AI Alignment Revisited: RLHF is a Decent Utilitarian Aligner
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94564-94605
Amortizing Maximum Inner Product Search with Learned Support Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94606-94639
Computational Arbitrage in AI Model Markets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94640-94655
Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94656-94674
OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94675-94697
Accuracy and Normalized Accuracy under Length Bias: Analysis, Guidelines, and a Bayesian Alternative
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94698-94713
Linguistic Properties and Model Scale in Brain Encoding: From Small to Compressed Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94714-94753
Test-Time Graph Search for Goal-Conditioned Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94754-94774
Representation Learning for Equivariant Inference with Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94775-94841
Twice Sequential Monte Carlo for Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94842-94863
Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94864-94894
Supervised Graph Contrastive Learning for Gene Regulatory Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94895-94941
HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94942-94966
Skipping the Zeros in Diffusion Models for Sparse Data Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94967-94988
Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:94989-95019
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95020-95050
When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95051-95067
TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95068-95103
MoRGen: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95104-95140
Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95141-95169
PDAgent: An LLM-Driven Autonomous Agent Framework Towards *In Silico* Protein Design via Directed Mutation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95170-95196
A Diffusive Classification Loss for Learning Energy-based Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95197-95252
Primal-Spectral Generative Modeling: Fast Analytical Generation via Pseudoinverse Lévy Inversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95253-95273
DenseSteer: Steering Small Language Models towards Dense Math Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95274-95289
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95290-95307
ReaForest: Fostering Generative Video Reasoning for Spatial Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95308-95333
Must All Negatives Be Pushed Away Equally? Uncertainty-Aware Cross-View Geo-Localization via Normal Inverse Gamma Distribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95334-95348
Calibrating Conservatism for Scalable Oversight
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95349-95379
The Oversight Game: Learning to Cooperatively Balance an AI Agent’s Safety and Autonomy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95380-95413
SoftBinary Coding: A New Information-Theoretic Paradigm for Neural Compression via Fast Channel Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95414-95434
The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95435-95460
Tail Annealing for Heavy-Tailed Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95461-95478
Updating Parametric Knowledge with Context Distillation Retains Post-Training Capabilities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95479-95495
Allocating Variance to Maximize Expectation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95496-95516
Aggregate Models, Not Explanations: Improving Feature Importance Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95517-95542
Revisiting the Volume Hypothesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95543-95554
DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95555-95578
Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95579-95606
Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95607-95648
Measuring Agents in Production
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95649-95695
Benchmarking and Improving Fine-Grained Text-to-Image Alignment via Paired Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95696-95713
Adaptive Multi-Round Allocation with Stochastic Arrivals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95714-95744
Difference-Aware Decision Learning for Multimodal Image Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95745-95762
Trajectory-Level Speculative Decoding for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95763-95776
ECCO: Evidence-Driven Causal Reasoning for Compiler Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95777-95793
Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95794-95819
Problem Distributions as Tasks: Repurposing Meta Learning for Generative Combinatorial Optimization towards Multi-task Pretraining and Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95820-95856
Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95857-95874
Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95875-95897
ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95898-95913
Detecting and Filtering Unsafe Training Data via Data Attribution with Denoised Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95914-95926
Temporal-aware Flow Matching for Video Generation with Temporally Coherent Motion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95927-95953
Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95954-95972
Optimal Transport for LLM Reward Modeling from Noisy Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95973-95993
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:95994-96018
Group Distributionally Robust Optimization-Driven RL for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96019-96054
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96055-96110
Memory Savings at What Cost? A Study of Alternatives to Backpropagation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96111-96154
Mosaic: Runtime-Efficient Multi-Agent Embodied Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96155-96193
Interpretability Driven Evolutionary Approach for the Design of Biological Sequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96194-96211
Continual Segmentation under Joint Nonstationarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96212-96274
Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96275-96290
Decouple and Cache: KV Cache Construction for Streaming Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96291-96306
Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96307-96334
Unveiling the Visual Counting Bottleneck in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96335-96355
Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96356-96432
EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96433-96449
Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96450-96477
Multi-Agent Teams Hold Experts Back
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96478-96515
STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96516-96534
Learnability-Informed Fine-Tuning of Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96535-96550
Online Social Welfare Function-based Resource Allocation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96551-96580
TabularBERT: Binning-Based Self-Supervised Learning for Tabular Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96581-96595
Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96596-96644
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96645-96672
Convergent World Representations and Divergent Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96673-96697
Sharpness-Aware Minimization Can Hallucinate Minimizers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96698-96721
Q-Delta: Beyond Key–Value Associative State Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96722-96739
Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96740-96765
$\textttMulti^2$: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96766-96805
Adaptive Policy Backbone via Shared Network
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96806-96821
Euler–Poincaré Neural Dynamics: A Geometric-Mechanics Framework for Scientific Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96822-96850
Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96851-96885
Saliency-Aware Model Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96886-96899
V-LynX: Token Interface Alignment for Video+X LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96900-96916
SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96917-96942
Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96943-96976
The Information Geometry of Softmax: Probing and Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:96977-97000
Learning Generalizable Skill Policy with Data-Efficient Unsupervised RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97001-97017
Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97018-97050
On Expressive Power of Floating-Point Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97051-97081
On Minimum Depth and Width of Floating-Point Neural Networks for Representing Floating-Point Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97082-97100
STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97101-97119
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97120-97150
Scalable Reinforcement Learning via Adaptive Batch Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97151-97170
Quantile-Free Uncertainty Quantification in Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97171-97198
SeisMark: A Large-Scale Open Benchmark for Robust 3D Seismic Fault Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97199-97212
Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97213-97233
Generative Neural Operators through Diffusion Last Layer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97234-97262
TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97263-97282
Deep networks learn to parse uniform-depth context-free languages from local statistics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97283-97321
Constrained Adaptive Rejection Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97322-97352
Stable Deep Reinforcement Learning via Isotropic Gaussian Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97353-97405
Insertion Based Sequence Generation with Learnable Order Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97406-97447
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97448-97485
Assistive Prompt Mediation: Evaluating Language Models Under Accessibility Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97486-97505
SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97506-97540
Safety Alignment of LMs via Non-cooperative Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97541-97569
Riemannian stochastic optimization for sufficient dimension reduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97570-97599
APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis libraries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97600-97623
FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97624-97642
When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97643-97678
Hyperbolic Neural Operator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97679-97737
CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97738-97755
Great Minds Think Alike: Contextual Tacit Communication for Decentralized LLM-Agent Cooperation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97756-97777
Neural Minimum Weight Perfect Matching for Quantum Error Codes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97778-97793
CAMP: Coherent Alignment of Multimodal Prototypes for Explainable Complementary Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97794-97828
Privileged Information Distillation for Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97829-97868
Recursive Binding on a Budget: Subspace Carving in Order-$p$ Tensor Memories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97869-97892
Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97893-97911
Measuring and Mitigating Post-Hoc Rationalization in Reverse Chain-of-Thought Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97912-97939
CauScale: Neural Causal Discovery at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97940-97957
LoPhyDA: Low-Rank Tensor and Physics Gradient Guided Diffusion for Atmospheric Data Assimilation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97958-97980
Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:97981-98013
TACTIC: Task-Aware Sparse Coordination Graphs for Multi-Task Multi-agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98014-98036
MIST: Moment-Aligned Invariant Stability Transform for Robust Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98037-98056
HiPER: Hierarchical Plan–Execute RL for Multi-Turn LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98057-98083
A Close Look at Negative Label Guided Out-of-distribution Detection in Pre-trained Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98084-98102
IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98103-98122
Unified Multimodal Autoregressive Modeling with Shared Context—Visual Tokenizer is Key to Unification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98123-98137
PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98138-98161
STD-Former: Image-Conditioned Texture Dictionary Encoding with Sparse Topological Supervision for Texture Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98162-98179
SCNS: Continual Personalization of Diffusion Models via Submodular Concept Neuron Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98180-98202
Towards Achieving Optimal Strong Regret and Constraint Violation via Computationally Efficient Model-free RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98203-98230
Learning Self-Interpretation from Interpretability Artifacts: Training Lightweight Adapters on Vector-Label Pairs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98231-98256
Online Bayesian Experimental Design for Partially Observed Dynamical Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98257-98280
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98281-98321
Recurrent Equivariant Constraint Modulation: Learning Per-Layer Symmetry Relaxation from Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98322-98341
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98342-98372
Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98373-98396
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98397-98429
BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98430-98458
Pressure Reveals Character: Behavioural Alignment Evaluation at Depth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98459-98487
Geometric Entropy and Retrieval Phase Transitions in Continuous Dense Associative Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98488-98498
SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98499-98567
Decomposing Out-of-Distribution Error in Conditional Flow Matching via Wasserstein Geometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98568-98584
Revisiting Distribution Correction Estimation for Offline Imitation Learning with Suboptimal Dataset
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98585-98604
Pruning at Initialisation through the lens of Graphon Limit: Convergence, Expressivity, and Generalisation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98605-98641
Automatic Unsupervised Ensemble Outlier Model Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98642-98665
Learning Manifold Data with Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98666-98695
Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98696-98729
MarketSim: Simulating Stock Markets with Large-Scale Generative Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98730-98777
Infinite-Dimensional Generative Diffusions via Doob’s h-Transform
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98778-98804
Joint Learning in the Gaussian Single Index Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98805-98826
Learning the ESG Geometry with Domain Aware Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98827-98844
Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98845-98862
ParalESN: Enabling parallel information processing in Reservoir Computing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98863-98883
Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98884-98902
Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98903-98933
Wait, Wait, Wait... Why Do Reasoning Models Loop?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98934-98964
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:98965-99002
A Diagnostic Study of Multi-Agent LLMs for Real-World Debates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99003-99017
Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99018-99054
Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99055-99080
Capability Traps in DPO
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99081-99093
Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99094-99137
Causal discovery for time series with endogenous context variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99138-99180
Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99181-99197
A Constrained Optimization Perspective of Unrolled Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99198-99230
Tilt Matching for Scalable Sampling and Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99231-99254
Meta Flow Maps enable scalable reward alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99255-99295
Peer-Preservation in Frontier Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99296-99384
Representational Similarity and Model Behavior in Multi-Agent Interaction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99385-99454
Approximation Preserving Coresets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99455-99474
Sim2Reason: Solving Physics Olympiad via Reinforcement Learning on Physics Simulators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99475-99505
QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99506-99577
Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99578-99625
Obliviate: Efficient Unlearning in Recommender Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99626-99651
Efficient and Safe Molecular Assembly via Reinforcement Learning and Constraint Solving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99652-99676
Effective Reasoning Chains Reduce Intrinsic Dimensionality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99677-99698
Catch-22: On the Fundamental Tradeoff Between Detectability and Robustness in LLM Watermarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99699-99737
On the Separability of Information in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99738-99771
Conformal Policy Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99772-99824
Fine-grained Analysis of Brain-LLM Alignment through Input Attribution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99825-99866
Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99867-99905
Parallel Stochastic Gradient-Based Planning for World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99906-99930
Principle-Evolvable Scientific Discovery via Uncertainty Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99931-99964
Low-Rank and Sparsity Are All You Need: Exploring Robust Hierarchical Latent Subspaces for Transferable Adversarial Attack
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99965-99997
Kernel-based Maximum-of-difference Test for Two-sample Comparison
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:99998-100020
What Does Preference Learning Recover from Pairwise Comparison Data?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100021-100050
PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100051-100126
Escaping the Mode: Multi-Answer Reinforcement Learning in LMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100127-100146
Float8@2bits: Entropy Coding Enables Data-Free Model Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100147-100175
CANDI: Hybrid Discrete-Continuous Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100176-100208
On the Generalization Gap in Self-Evolving Language Model Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100209-100228
ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100229-100248
Delving into Muon and Beyond: Deep Analysis and Extensions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100249-100268
Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100269-100299
Auto-regressive In-context Demonstration Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100300-100333
Towards the Training of Deeper Predictive Coding Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100334-100362
CACR: Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100363-100391
Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100392-100408
Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100409-100434
Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100435-100458
Swift-SVD: Theoretical Optimality Meets Practical Efficiency in Low-Rank LLM Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100459-100478
FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100479-100490
Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100491-100510
Cross-View Lewis Weight Fusion Empowering Exemplar Replay for Federated Class-Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100511-100529
Explicitly Modeling Censoring Produces Superior Survival Predictors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100530-100574
BEAR: Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100575-100674
Rethinking the Trust Region in LLM Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100675-100702
BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100703-100723
Federated Bilevel Performative Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100724-100786
CollabBench: Benchmarking and Unleashing Collaborative Ability of LLMs with Diverse Players via Proactive Engagement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100787-100848
Learning to Approximate Uniform Facility Location via Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100849-100871
On the Expressive Power of GNNs to Solve Linear SDPs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100872-100917
Rationality Measurement and Theory for Reinforcement Learning Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100918-100945
d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100946-100966
Likelihood Matching for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100967-100994
Who can we trust? LLM-as-a-jury for Comparative Assessment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:100995-101013
Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101014-101032
When Drafts Evolve: Speculative Decoding Meets Online Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101033-101059
The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Mathematical Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101060-101087
UGround: Towards Unified Visual Grounding with Unrolled Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101088-101111
Toward Subspace-Perturbed Trajectory-Aware Backdoor Attacks in Deep Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101112-101133
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101134-101160
On the Plasticity and Stability for Post-Training Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101161-101183
Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101184-101206
Class-Prior Perturbation-Robust Regularization for Imbalanced Unreliable Partial Label Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101207-101221
When Sample Selection Bias Precipitates Model Collapse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101222-101268
Offline Multi-Agent Reinforcement Learning via Sequential Score Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101269-101297
Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101298-101323
Focus-Then-Contact: Speeding Up Robotic Contact-Rich Task Learning with Affordance-Guided Real-World Residual Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101324-101343
It’s TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101344-101377
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101378-101428
ConServe: Fine-Grained GPU Harvesting for LLM Online and Offline Co-Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101429-101443
AdamO: A Collapse-Suppressed Optimizer for Offline RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101444-101493
On the Identifiability of Poisson Branching Structural Causal Model Under Latent Confounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101494-101523
MADA-Attack: Transferable Multi-modal Attention Distraction Adversarial Attack against Vision Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101524-101546
SymSpectra: Symmetric Information Bottleneck Framework for Molecular Structure Recognition under Imbalanced Settings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101547-101572
ConFu: Contemplate the Future for Better Speculative Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101573-101585
VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101586-101595
Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101596-101614
Information dynamics and Memory in Neural Networks through Fisher Information Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101615-101641
Towards Rule-Based Knowledge Sharing in Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101642-101665
Tracing the Persona Circuit: How Large Language Models Encode and Express Character Traits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101666-101687
Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101688-101733
FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101734-101755
GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101756-101784
Zeroth-Order Forward-Only SNN Training Inspiring Neuromorphic On-Chip Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101785-101814
Executable Agentic Memory for GUI Agent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101815-101840
BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101841-101860
Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101861-101898
DDIM Inversion as a Perturbation Amplifier: Breaking Mimicry Protection via Reconstruction Error Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101899-101917
Debate2Create: Robot Co-design via Multi-Agent LLM Debate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101918-101945
Revisiting Coding-Based Approaches to Overcome the Curse of Dimensionality in Learning-Based Watermarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101946-101967
Activation with Intrinsic-Extrinsic Consensus
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101968-101986
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:101987-102015
SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102016-102035
Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102036-102072
ReasonEdit: Editing Vision–Language Models using Human Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102073-102095
HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102096-102118
Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102119-102146
Towards a Holistic Understanding of Selection Bias for Causal Effect Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102147-102173
Learning Global Representation from Queries for Vectorized HD Map Construction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102174-102188
SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102189-102205
POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102206-102220
ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102221-102256
Revealing Scaling Paradox in Large-scale Time Series Models: Implications for More Efficient and Accurate Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102257-102287
Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102288-102311
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102312-102338
Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102339-102355
Evidential Copula Concept Embedding Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102356-102374
VideoSEAL: Mitigating Evidence Misalignment in Agentic Long Video Understanding by Decoupling Answer Authority
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102375-102407
Less Is More in Federated Continual Learning: RieSelect for Conflict-Aware Layer Selection in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102408-102438
DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102439-102458
cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102459-102476
TabICLv2: A Better, Faster, Scalable, and Open Tabular Foundation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102477-102555
Protein Autoregressive Modeling via Multiscale Structure Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102556-102576
TFTF: Training-Free Targeted Flow for Conditional Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102577-102606
What Does Thompson Sampling Optimize?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102607-102618
Can Muon Fine-tune Adam-Pretrained Models?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102619-102650
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102651-102677
A recipe for scalable attention-based ML potentials: unlocking long-range accuracy with all-to-all node attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102678-102697
Scaling, Benchmarking, and Reasoning of Vision-Language Agents for Mobile GUI Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102698-102731
T-POP: Test-Time Personalization with Online Preference Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102732-102750
Interpretability and Generalization Bounds for Learning Spatial Physics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102751-102768
Towards a Science of AI Agent Reliability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102769-102820
Language Generation with Replay: A Learning-Theoretic View of Model Collapse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102821-102843
Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102844-102883
G$^2$RPO: Geometric GRPO Escaping LLMs’ Reasoning Ruts to Break the Accuracy–Entropy Trade-off
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102884-102932
Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102933-102973
HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:102974-103001
Causal Identification from Counterfactual Data: Completeness and Bounding Results
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103002-103032
Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103033-103059
ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103060-103090
VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103091-103123
STT-LLM: Structural-Temporal Tokenization for Adapting LLMs to Longitudinal Clinical Profiles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103124-103145
Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103146-103178
Revisiting OOD Generalization in Programmatic RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103179-103192
Personalized Image Generation via Human-in-the-loop Bayesian Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103193-103224
Panini: Continual Learning in Token Space via Structured Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103225-103260
MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103261-103320
A model of errors in transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103321-103346
One-step Optimal Transport via Regularized Distribution Matching Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103347-103386
$α$-PFN: Fast Entropy Search via In-Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103387-103406
Particle Flow for Learning from Label Proportions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103407-103433
Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103434-103496
Reasoning Models Are Test Exploiters: Rethinking Multiple Choice
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103497-103518
DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103519-103566
Sparks of Cooperative Reasoning: LLMs as Strategic Hanabi Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103567-103641
Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103642-103671
TriForces: Augmenting Atomistic GNNs for Transferable Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103672-103697
MCCE: A Framework for Multi-LLM Collaborative Search in Discrete Spaces with Similarity-Filtered Preference Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103698-103716
KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103717-103738
Differentially Private Cross-Silo Recommendation from Implicit Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103739-103758
Pair2Scene: Learning Local Object Relations for Procedural Scene Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103759-103777
Learning Discrete Diffusion on Graphs via Free-Energy Gradient Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103778-103807
PostTrainBench: Can LLM Agents Automate LLM Post-Training?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103808-103823
From Lyapunov Analysis to Algorithm Design in two-sided PL Minimax Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103824-103849
Localized, High-resolution Geographic Representations with Slepian Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103850-103873
A Regime-Aware Trajectory Prediction Framework for 1000+ Systems Biology Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103874-103927
On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103928-103955
Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103956-103979
No More, No Less: Least-Privilege Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:103980-104010
A Dirac-Frenkel-Onsager Principle: Instantaneous Residual Minimization with Gauge Momentum for Nonlinear Parametrizations of PDE Solutions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104011-104030
$τ$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104031-104067
Equilibrium Pricing in Oligopolistic Data Markets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104068-104077
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104078-104100
Learning to Watermark in the Latent Space of Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104101-104129
The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104130-104174
AdaSCALE: Adaptive Scaling for OOD Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104175-104218
Autoregressive Boltzmann Generators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104219-104250
Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104251-104272
Rotary Position Encodings for Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104273-104290
Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104291-104315
Alterbute: Editing Intrinsic Attributes of Objects in Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104316-104345
Correct Looks Better: Pairwise Comparisons Reveal Accuracy Rankings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104346-104363
Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104364-104390
iGRPO: Fast Online RL for Flow Matching Model with Instant Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104391-104400
Unbiased Principles, Robust Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104401-104422
Towards Reliable Marking and Verification of AI-Generated Text via Geometry-aware Sentence-level Watermarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104423-104435
Streaming Covariate Balancing via Discrepancy-Based Feature Coresets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104436-104460
Evaluating and Rewarding LALMs for Expressive Role-Play TTS via Mean Continuation Log-Probability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104461-104475
Low-dimensional topology of deep neural networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104476-104499
Powerful and Theoretically Guaranteed Independence Testing on Heterogeneous Federated Clients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104500-104530
MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104531-104544
Scalable Event Cloud Network for Event-based Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104545-104562
Transfer Learning in Nonparametric Regression with Deep ReLU Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104563-104609
POLCA: Stochastic Generative Optimization with LLM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104610-104655
Riemannian Dueling Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104656-104681
FedSDR: Federated Self-Distillation with Rectification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104682-104699
More Sail than Ballast: Addressing Harmful Knowledge Leakage in the Expansive Reasoning Space of LRMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104700-104724
Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104725-104773
Attention Hijacking: Backdooring Text Dataset Distillation via Semantic Anchors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104774-104791
FedSSM: State Space Model-based Proactive Inference for Heterogeneous Multimodal Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104792-104813
Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104814-104828
Edit-Based Refinement for Parallel Masked Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104829-104846
When Simple Problems Wear Complex Costumes: Improving Efficiency in LRM’s Adaptive Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104847-104860
A Minimal Agent for Automated Theorem Proving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104861-104905
Who Evaluates AI’s Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104906-104952
Use What You Know: Causal Foundation Models with Partial Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104953-104987
Online Rubrics Elicitation from Pairwise Comparisons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:104988-105012
Weight-Space Learning for Certifiable Few-shot Transfer Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105013-105038
From Muon to Gluon: Bridging Theory and Practice of LMO-based Optimizers for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105039-105082
A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105083-105121
A Geometric Analysis of Small-sized Language Model Hallucinations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105122-105151
Improved Bounds for Reward-Agnostic and Reward-Free Exploration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105152-105179
Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105180-105192
Transporting Task Vectors across Different Architectures without Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105193-105211
Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105212-105257
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105258-105279
ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105280-105309
Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105310-105333
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105334-105380
Distributionally Robust Markov Games with Average Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105381-105437
Performative Learning Theory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105438-105473
FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105474-105511
Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105512-105534
Ambient Dataloops: Generative Models for Dataset Refinement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105535-105563
PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105564-105583
Modular Pretraining Enables Access Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105584-105617
Categorical Flow Maps
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105618-105642
SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105643-105672
Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105673-105717
Preserving Plasticity in Continual Learning via Dynamical Isometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105718-105755
TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105756-105780
Per-example Gradients: a New Frontier for Understanding and Improving Optimizers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105781-105807
Test-Time Anchoring for Discrete Diffusion Posterior Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105808-105848
Understanding the Gaps in Satisficing Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105849-105880
Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105881-105906
Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105907-105937
Beyond Independent Genes: Learning Module-Inductive Representations for Single-Cell Gene Perturbation Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105938-105964
ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105965-105987
Language Model Augmented Semi-Supervised Statistical Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:105988-106016
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106017-106040
Attention Implements the Fisher Geometry of Exponential Families
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106041-106063
Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106064-106087
On the Accuracy of Newton Step and Influence Function Data Attributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106088-106134
Fixed Aggregation Features Can Rival GNNs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106135-106164
On the Epistemic Uncertainty of Overparametrized Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106165-106185
Unsupervised Partner Design Enables Robust Ad-hoc Teamwork
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106186-106212
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106213-106234
Flow Matching Calibration for Simulation-Based Inference under Model Misspecification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106235-106261
Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106262-106293
$\textttShaplEIG$: Bayesian Experimental Design for Shapley Value Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106294-106336
PRISM: Demystifying Retention and Interaction in Mid-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106337-106370
Success-Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106371-106386
PPI Candidate Ranking: Large-Scale Evaluation of a Domain Knowledge–Guided Pipeline
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106387-106401
Reinforcement Learning with Action-Triggered Observations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106402-106430
Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106431-106455
Removing Sandbagging in LLMs by Training with Weak Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106456-106500
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106501-106533
Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106534-106653
RADE: Random Add-Drop Edge as a Regularizer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106654-106680
Training-Free Adversarial Robustness in Computational MRI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106681-106710
BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106711-106732
Welfare-Optimal Classification with Accuracy Auctions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106733-106761
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106762-106793
Anti-causal domain generalization: Leveraging unlabeled data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106794-106817
Memory-Distilled Selection for Noise-Robust Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106818-106844
Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106845-106865
Test-Time Detoxification without Training or Learning Anything
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106866-106890
Measuring Meta-Cultural Competency: A Spectral Framework for LLM Knowledge Structures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106891-106928
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106929-106954
Zeroth-Order Non-Log-Concave Sampling with Variance Reduction and Applications to Inverse Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106955-106996
Scaling Beyond Masked Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:106997-107014
Esoteric Language Models: A Family of Any-Order Diffusion LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107015-107054
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107055-107125
Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107126-107159
Adaptive Contracts for Cost-Effective AI Delegation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107160-107192
Sign Lock-In: Randomly Initialized Weight Signs Persist and Bottleneck Sub-Bit Model Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107193-107251
Noisy-Channel Minimum Bayes Risk Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107252-107266
Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107267-107293
Non-Stationary Online Structured Prediction with Surrogate Losses
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107294-107312
One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107313-107342
CrossQ: Task-Aligned Cross-Token Conditional Quantization for Late Interaction Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107343-107377
GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107378-107411
Structure Enables Effective Self-Localization of Errors in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107412-107440
LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107441-107454
FAST-AR: Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107455-107471
Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107472-107498
Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107499-107525
MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107526-107558
Pushing the Limits of Block Rotations in Post-Training Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107559-107579
How High is ‘High’? Rethinking the Roles of Dimensionality in Topological Data Analysis and Manifold Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107580-107612
Learning-to-Optimize via Deep Unfolded Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107613-107641
Prediction-Powered Adaptive Inference with Pretrained AI Models for Contextual Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107642-107669
Evolution Strategies at the Hyperscale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107670-107741
Improved Algorithms for Nash Welfare in Linear Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107742-107770
Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107771-107790
On the Ability of Transformers to Verify Plans
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107791-107837
Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107838-107862
Two-Layer Linear Auto-Regressive Models Estimate Latent States
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107863-107888
Training-Free Bayesian Filtering with Generative Emulators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107889-107912
Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107913-107995
The Geometry of Representational Failures in Vision Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:107996-108016
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108017-108037
VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108038-108077
EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108078-108092
Transitive Representation Learning Enhances Histopathology Annotation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108093-108114
When Does Predictive Inverse Dynamics Outperform Behavior Cloning?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108115-108143
Step-Size Stability in Stochastic Optimization: A Theoretical Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108144-108162
Temperature Scaling in Discrete Sequence (Language) Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108163-108176
From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108177-108203
ICR-RL: Deep Reinforcement Learning via In-Context-Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108204-108217
Flat Minima and Generalization: Insights from Stochastic Convex Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108218-108245
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108246-108271
Transport Clustering: Solving Low-Rank Optimal Transport via Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108272-108312
Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108313-108338
SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108339-108368
Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108369-108389
Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108390-108420
Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108421-108453
WildCat: Near-Linear Attention in Theory and Practice
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108454-108484
Unraveling Syntax: Language Modeling and the Substructure of Grammars
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108485-108505
Can Vision Language Models Learn Intuitive Physics from Interaction?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108506-108535
Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108536-108572
FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108573-108611
Two-Parameter Flows for Learning Population Dynamics of Physical Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108612-108627
A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108628-108645
Equilibrium Propagation for Non-Conservative Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108646-108668
Trajectory-Aware Heuristic Learning for Combinatorial Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108669-108689
Learning Multi-Agent Coordination via Sheaf-ADMM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108690-108706
Provably Protecting Fine-Tuned LLMs from Training Data Extraction while Preserving Utility
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108707-108727
FormulaCode: Evaluating Agentic Optimization on Large Codebases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108728-108783
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108784-108827
Spherical SO(3) Equivariant Local Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108828-108842
Trojan-Speak: Bypassing Constitutional Classifiers with No Jailbreak Tax via Adversarial Finetuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108843-108861
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108862-108904
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108905-108925
Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108926-108946
BEDTime: A Unified Benchmark for Automatically Describing Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108947-108982
Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:108983-109024
DEGAP: Dynamic Entropy-Guided Attention Perturbation for Contrastive Decoding in Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109025-109044
Unbiased and Second-Order-Free Training for High-Dimensional PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109045-109073
Dissecting Causal Mechanism Shifts via FANS: Function And Noise Separation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109074-109104
Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109105-109131
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109132-109150
Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109151-109177
A KL-regularization framework for learning to plan with adaptive priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109178-109204
Test-time Generalization for Physics through Neural Operator Splitting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109205-109235
Frontier Models Can Take Actions at Low Probabilities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109236-109268
Where Flow Matching Leaks: Characterising the Membership Signals Along the Interpolation Path
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109269-109293
Asymptotically Optimal Sequential Testing with Markovian Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109294-109330
Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109331-109363
Optimal Splitting of Language Models from Mixtures to Specialized Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109364-109387
Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109388-109428
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109429-109446
Testing For Distribution Shifts with Conditional Conformal Test Martingales
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109447-109469
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109470-109491
Tri-Scale Neural ODEs for Continuous Multi-Omics Disease Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109492-109505
From Directions to Regions: Decomposing Activations in Language Models via Local Geometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109506-109535
Fast k-means Seeding Under The Manifold Hypothesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109536-109581
dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109582-109600
Even Faster Kernel Matrix Linear Algebra via Density Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109601-109638
MoLoRA: Composable Specialization via Per-Token Adapter Routing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109639-109653
Modeling Hierarchical Thinking in Large Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109654-109679
Domain Restriction via Multi SAE Layer Transitions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109680-109693
TMS: Trajectory-Mixed Supervision for On-Policy Self Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109694-109719
Identifiable Equivariant Networks are Layerwise Equivariant
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109720-109733
Transformers learn factored representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109734-109764
Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modeling and State Tracking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109765-109800
Closing the Sim-to-Real Gap in Network Spreading Processes via GPU-Accelerated Distributional RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109801-109813
ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109814-109835
Divide and Contrast: Learning Robust Temporal Features without Augmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109836-109859
LUGS: Latent-aware Guidance for Efficient Unmasking in Diffusion Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109860-109873
Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109874-109897
LieWarper: Geometry-Aware Motion Transfer via Lie Algebra
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109898-109916
T-Edit: Triple-Branch Diffusion Anchoring for Consistent Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109917-109932
SpaEF: Spatially Resolved Transcriptomics Data Element-Wise Denoising Framework Powered by Large Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109933-109950
TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109951-109968
Training–Inference Consistent Segmented Execution for Long-Context LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109969-109987
Fast and Scalable Analytical Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:109988-110001
COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110002-110027
DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110028-110045
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110046-110101
One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110102-110130
The Pareto-optimal Trade-off between Regret and Statistical Inference in Linear Stochastic Bandits under Safety Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110131-110166
Spurious Rewards: Rethinking Training Signals in RLVR
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110167-110207
MonoScale: Scaling Multi-Agent System with Monotonic Improvement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110208-110244
LiveFigure: Generating Editable Scientific Illustration with VLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110245-110274
Block Rotation is All You Need for MXFP4 Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110275-110295
SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110296-110313
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110314-110337
DecodeShare: Tracing the Shared Subspace of LLM Decode-Time Decisions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110338-110373
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110374-110396
CONGA:Confidence-and-Gradient-Aware Learning Rate Schedule for Test Time Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110397-110416
How RLHF Amplifies Sycophancy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110417-110441
MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110442-110477
Intentional Updates for Streaming Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110478-110496
Who’s in Charge? Disempowerment Patterns in Real-World LLM Usage
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110497-110575
RubricRobustness: Evaluating the Sensitivity of Rubrics-Based Benchmarks to Simple Perturbations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110576-110586
The Realignment Problem: When Right becomes Wrong in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110587-110617
Ariadne’s Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head Poses
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110618-110641
Spik4lite: Refactoring Neuromorphic Sparsity for Efficient Spiking Neural Networks on Commodity Edge Devices
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110642-110654
Laplacian Representations for Decision-Time Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110655-110681
MMClima: A Framework for Multimodal Climate Science Data and Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110682-110705
DF-LoGiT: Data-Free Logic-Gated Backdoor Attacks in Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110706-110728
CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110729-110750
From Poisoned to Aware: Fostering Backdoor Self-Awareness in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110751-110781
IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110782-110813
Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110814-110841
Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110842-110869
Rényi Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110870-110911
ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110912-110969
Training-Trajectory-Aware Token Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110970-110994
TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:110995-111034
SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111035-111061
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111062-111077
REG: In-Sample RL via Regularizing the Evaluation Gap
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111078-111099
Reasoning Can Be Restored by Correcting a Few Decision Tokens
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111100-111124
SERA: Soft-Verified Efficient Repository Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111125-111142
DecepChain: Inducing Deceptive Reasoning in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111143-111178
Data Reconstruction: Identifiability and Optimization with Sample Splitting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111179-111203
CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111204-111224
Efficient Reasoning with Hidden Thinking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111225-111240
Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111241-111266
OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111267-111305
Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111306-111337
LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111338-111356
A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111357-111392
Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111393-111415
SPEED: Sharpened-Teacher Distillation for Parallel Decoding of Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111416-111429
SciAgentGym: Benchmarking Multi-Step Scientific Tool-Use in LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111430-111454
Plug-and-Play Label Map Diffusion for Universal Goal-Oriented Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111455-111475
BEST: Benchmarking Efficiency in Space and Time for LLM-Generated Code
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111476-111509
Structurally Aligned Subtask-Level Memory for Software Engineering Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111510-111521
Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111522-111541
Self-Distillation Enables Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111542-111558
From Individual Calibration to Reliable Classifiers: ALD Parameterization with mPAIC Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111559-111602
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111603-111623
Introspection Adapters: Training LLMs to Report Their Learned Behaviors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111624-111655
From Optimization to Generalization under Heavy-Tailed Data: The Role of Gradient Clipping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111656-111690
Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111691-111710
UniSparse: Combining Weight Pruning and Spike Sparsification in Spiking Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111711-111725
Disease-Centric Vision-Language Pretraining with Hybrid Visual Encoding for 3D Computed Tomography
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111726-111742
Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111743-111767
Coupled Training with Privileged Information and Unlabeled Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111768-111803
Multilingual Safety Alignment via Representation-Space Separability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111804-111817
Regularized Discriminative Alignment for Deep Representations under Label Shift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111818-111855
TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111856-111873
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111874-111888
Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111889-111926
Tackling Fake Forgetting through Uncertainty Quantification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111927-111953
Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111954-111981
MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:111982-112003
Towards Realistic Lifelong Re-identification: Identity Recurrence with Changing Clothes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112004-112014
A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112015-112043
Learning What to Generate: A Reinforcement Learning-based Closed-Loop Augmentation Framework for Person Re-identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112044-112066
PromptPilot: Game-Theoretic Multi-Agent Prompt Optimization for Segment Anything
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112067-112077
OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112078-112093
CyberGym-E2E: Scalable Real-World Benchmark for AI Agents’ End-to-End Cybersecurity Capabilities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112094-112108
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112109-112149
S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112150-112166
SAM Audio: Segment Anything in Audio
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112167-112194
Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112195-112211
RealtimeTool: Parallel Decoding for Real-Time LLM Function Calling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112212-112237
Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112238-112259
A Single Layer to Explain Them All: Understanding Massive Activations in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112260-112277
VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112278-112300
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112301-112319
Think Twice Before You Act: Protecting LLM Agents Against Tool Description Poisoning via Isolated Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112320-112337
AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112338-112358
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112359-112385
Training Deep Spiking Neural Networks without Normalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112386-112406
AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112407-112419
Structured Multi-modal Graph Disentanglement for Psychiatric Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112420-112442
$τ$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112443-112471
CGRiC: Compositional Risk Certification for Structured LLM Outputs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112472-112496
CalPro: Prior-Aware Evidential Conformal Prediction with Structure-Aware Sensitivity Bounds for Protein Structures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112497-112520
Certificate-Guided Pruning for Stochastic Lipschitz Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112521-112540
What Reward Structure Enables Efficient Sparse-Reward RL? A Proof-of-Concept with Policy-Aware Matrix Completion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112541-112573
Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112574-112590
Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112591-112623
Query-Based Asymmetric Modeling with Decoupled Input–Output Rates for Speech Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112624-112651
Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112652-112668
Parsimonious Learning-Augmented Online Metric Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112669-112688
Overclocking Electrostatic Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112689-112712
Responsible Text-to-Image Diffusion: Interpretable and Linearly Controllable Semantics for Fair and Safe Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112713-112741
HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112742-112759
Domain Transfer Becomes Identifiable via a Single Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112760-112782
Size Transferability of Graph Convolutional Networks across Sparsity: A Generalized Graphon Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112783-112815
HybridOM: Hybrid Physics-Based and Data-Driven Global Ocean Modeling with Efficient Spatial Downscaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112816-112846
OSF: On Pre-training and Scaling of Sleep Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112847-112871
The Hippocampal Place Field Gradient: A Bio-inspired Framework Building Multiscale Representation for Better Sample Efficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112872-112892
General Analysis of LMO-based Optimizers: Beyond Bounded Variance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112893-112935
Understanding MARS: When Scaling Momentum Correction Provably Helps
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112936-112965
Two-dimensional quantization for geometry-aware audio coding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112966-112981
FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:112982-113012
Towards Execution-Grounded Automated AI Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113013-113053
Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113054-113067
Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113068-113090
Path-dependent Discrete Amortized Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113091-113116
Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113117-113149
Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113150-113187
Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113188-113211
Old Habits Die Hard: How Conversational History Geometrically Traps LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113212-113230
3DPoV: Improving 3D understanding via Patch Ordering on Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113231-113256
Training with Honeypots: Reshaping How LLMs Fail Under Adversarial Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113257-113285
On the Relationship Between Activation Outliers and Feature Death in Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113286-113321
Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113322-113359
Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113360-113374
Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113375-113404
Curriculum-Guided Layer Scaling for Language Model Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113405-113422
V1: Unifying Generation and Self-Verification for Parallel Reasoners
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113423-113458
RL with Learnable Textual Feedback: A Bilevel Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113459-113483
DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113484-113504
Holonomy Grid Codes for Generalisation Under Directed Actions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113505-113534
Evaluating Object-Centric Models beyond Object Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113535-113552
VIBE: Disentangling Social Dynamics via Kinematics-Informed Variational Inference for Behavioral Emotion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113553-113575
Divide and Learn: Multi-Objective Combinatorial Optimization at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113576-113675
LLM Priors for ERM over Programs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113676-113704
Accurate, Private, Secure, Federated U-statistics with Higher Degree
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113705-113735
Trainable Nonexpansive Denoisers for Contractive Image Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113736-113749
Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113750-113765
Implicit Intelligence - Evaluating Agents on What Users Don’t Say
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113766-113804
Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113805-113831
SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113832-113884
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113885-113919
Variational Learning of Disentangled Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113920-113947
RED-HDP-HMM: Observation-Dependent Durations for Bayesian Nonparametric Sequential Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113948-113975
Calibrating Generative Models to Distributional Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:113976-114023
Causally Evaluating the Learnability of Formal Language Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114024-114050
Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114051-114074
Scalable and Interpretable Representation Alignment with Ordinal Similarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114075-114122
CountsDiff: A diffusion model on the natural numbers for generation and imputation of count-based data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114123-114161
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114162-114207
TT-Sparse: Learning Sparse Rule Models with Differentiable Truth Tables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114208-114234
Process Reward Agents for Steering Knowledge-Intensive Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114235-114250
Accelerated and Stable Convergence with Anchored Generalized Optimistic Method
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114251-114286
Neural Quantum States in Mixed Precision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114287-114310
WaveSSM: Multiscale State-Space Models for Non-stationary Signal Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114311-114340
Decision Tree Learning on Product Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114341-114362
Distilling Linearized Behavior into Non-linear Fine-Tuning for Effective Task Arithmetic
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114363-114382
Can Microcanonical Langevin Dynamics Leverage Mini-Batch Gradient Noise?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114383-114412
Judging What We Cannot Solve: A Consequence-Based Approach for Oracle-Free Evaluation of Research-Level Math
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114413-114435
Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114436-114462
EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114463-114481
Expanding the Capabilities of Reinforcement Learning via Text Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114482-114522
When Diffusion Language Models Hesitate: Detecting and Correcting Visual Hallucinations via Confidence Fluctuation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114523-114544
EnsembleVLA: Ensemble Learning for Vision-Language Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114545-114565
RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114566-114580
Estimating the Empowerment of Language Model Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114581-114614
LoBCD-GW: A Fast and Data-Dependent Algorithm for Computing Gromov-Wasserstein Distance via Localized Block Coordinate Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114615-114637
Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114638-114657
R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114658-114686
GO-PRE: Goal-Oriented Next-Best-View Selection via Predictive Rendering Entropy for Active 3D Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114687-114699
The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114700-114729
MIMO-LP: A Multi-Input Multi-Output Framework for Subgraph-based Link Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114730-114752
MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114753-114779
Expo-GS: Exposure-Aware Signed Distance Function in Gaussian Splatting for High Dynamic Range
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114780-114801
EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114802-114823
TF-FACE: Time-Frequency Fusion Learning via Frequency-Domain Adaptive and Controllable Enhancement for Trajectory Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114824-114843
SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114844-114859
VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114860-114932
Chunk-Guided Q-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114933-114961
PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114962-114986
ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:114987-115005
Ideal Attribution and Faithful Watermarks for Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115006-115028
Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115029-115067
Causal Attention with Lookahead Keys
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115068-115107
NEMO: Execution-Aware Optimization Modeling via Autonomous Coding Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115108-115142
IRPM: Intergroup Relative Preference Modeling for Pointwise Generative Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115143-115173
DiffuReason: Enhancing Reasoning Ability for Diffusion Language Models via Monte Carlo Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115174-115185
Zeroth-Order Optimization at the Edge of Stability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115186-115223
iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115224-115249
WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115250-115272
DomED: Redesigning Ensemble Distillation for Domain Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115273-115303
Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115304-115321
How Hard Is Science?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115322-115340
Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115341-115372
Annotations Mitigate Post-Training Mode Collapse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115373-115393
Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115394-115419
Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115420-115456
Edge-colored Clustering in Hypergraphs: A MaxECC Approximation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115457-115469
EffGen: Enabling Small Language Models as Capable Autonomous Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115470-115609
Adaptive Generation of Bias-Eliciting Questions for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115610-115676
Learning the Minimum Action Distance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115677-115710
Well-Posed KL-Regularized Control via Wasserstein and Kalman–Wasserstein KL Divergences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115711-115746
Approximating f -Divergences with Rank Statistics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115747-115786
Adversarial Vulnerability from Interference Between Features in Superposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115787-115811
Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115812-115825
Constitutional Black-Box Monitoring for Scheming in LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115826-115861
Retriever Portfolios: A Principled Approach to Adaptive RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115862-115882
Attention Projection Mixing with Exogenous Anchors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115883-115902
PMSPO: Progressive Matching and Semantic-Aware Policy Optimization for Camouflaged Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115903-115916
World Guidance: World Modeling in Condition Space for Action Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115917-115933
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115934-115956
VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115957-115994
CRAMER: Control via Request-Aware Masking for Editing Recommenders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115995-116015
EquiCAD: A Geometric Equivariant Neural Network for 3D Shape Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116016-116028
OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116029-116038
LaRA-Fusion: Latent-Robust Adaptation via Dual-Loop Constraints for Infrared and Visible Image Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116039-116061
How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116062-116081
Correspondence Cognitive Learning for Multi-Modal Object Re-Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116082-116098
RC-FCL: Combating Asynchronous Concept Drift in Federated Continual Learning via Retrospective Calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116099-116113
Multi-timescale Reinforcement Learning by Value Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116114-116130
Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116131-116146
Rewiring Experts on the Fly: Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116147-116166
TG-RAG: A Retrieval-Augmented Framework for Reasoning Guidance in Specialized Domains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116167-116183
EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116184-116201
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116202-116229
Evaluating Language Models in Realistic Conversational Contexts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116230-116271
The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116272-116299
AgentSuite: Toward More Reliable Agent Evaluation with a Component-Based Benchmark Auditing Pipeline
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116300-116319
CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116320-116336
Conversation for Non-verifiable Learning: Self-Evolving Large Language Models through Meta-Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116337-116363
GRPO is Secretly a Process Reward Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116364-116379
Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116380-116394
Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116395-116421
Multimodal Latent Language Modeling with Next-Token Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116422-116442
Anatomy of Massive Activations and Attention Sinks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116443-116463
Adaptive Recurrent Message Passing for Test Time Computing on Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116464-116483
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116484-116500
Training Diffusion Language Models for Black-Box Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116501-116518
KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116519-116540
Closing the Expression Gap in LLM Instructions via Socratic Questioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116541-116563
Timestep Rescheduling in Diffusion Inversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116564-116586
Narrowing the ANN–SNN Gap for Continuous 1D Temporal Signal Classification with Multi-Scale Temporal Encoding and Sparsity-Regularized Transform Encoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116587-116606
Value-as-Return: A Two-Stage Framework to Align on the Optimal Score Function
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116607-116625
MESA: Improving MoE Safety Alignment via Decentralized Expertise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116626-116643
Uncertainty-Guided Exploration and Stable Planning for Sparse-Reward Manipulation from Limited Demonstrations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116644-116667
Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116668-116694
Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116695-116714
SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116715-116752
Revisiting the Role of Pretrained Weights in Model Merging: On Near-Optimality within the Core Subspace
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116753-116775
video-SALMONN S: Memory-Enhanced Streaming Audio-Visual LLM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116776-116791
MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116792-116819
Scalable Medical Multimodal Fusion via Symmetric Consistency Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116820-116841
CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdict
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116842-116866
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116867-116893
Scaling Long-Horizon Agent via Context Folding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116894-116910
Ask Less, See More: Communication-Conditioned Token Pruning for Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116911-116921
Reverse-Engineering Model Editing on Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116922-116956
Origo: Interpretable Multi-physics PDE Foundation Model through Neural Operator Splitting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116957-116975
Unsat Core Prediction through Polarity-Aware Representation Learning over Clause-Literal Hypergraphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116976-116988
Brep2Shape: Boundary and Shape Representation Alignment via Self-supervised Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:116989-117008
Energy-based Compositional Diffusion Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117009-117031
Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117032-117053
Robustness of Mixtures of Experts to Feature Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117054-117081
ROAMM: A Benchmark Dataset for Multimodal Human Attention Decoding and EEG-to-Text Modeling During Naturalistic Reading
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117082-117099
Learning with Admissibility: Robust Fuzzy Hashing for Cross-Modal Retrieval with Noisy Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117100-117116
Topology-Aware Contrastive Learning: Regulating Representation Connectivity via Persistent Homology
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117117-117143
Robust Self-reflective Hashing for Cross-modal Retrieval with Noisy Label
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117144-117153
Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117154-117174
From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117175-117191
ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools — From Consensus Learning to Ambiguity-Driven Emotion Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117192-117221
AIR-VLA: Vision-Language-Action Systems for Aerial Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117222-117240
Singular Proxies for Adaptive Caching in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117241-117259
Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117260-117275
Very Efficient Listwise Multimodal Reranking for Long Documents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117276-117297
Prompt Optimization with Minimal Unlabeled Input via Meta-Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117298-117327
Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117328-117350
Know Thyself, Know Thy User: Intrinsic Dual-Perspective Reasoning for Role-Playing LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117351-117383
MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117384-117402
Hallucination Detection from Structural Reasoning Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117403-117429
RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117430-117460
Orthogonal Concept Erasure for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117461-117482
Fast Estimation for Forest Matrix of Signed Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117483-117500
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117501-117523
AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117524-117556
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117557-117592
scDEBART: Predicting in silico Single-Cell Perturbation Responses via Large-Scale Differential Expression Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117593-117625
Latent Guided Sampling for Combinatorial Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117626-117665
At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117666-117698
Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117699-117727
Deep Learning for BioImaging: What Are We Really Learning?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117728-117772
Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don’t
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117773-117805
The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117806-117825
The Geometry of Updates: Fisher Alignment at Vocabulary Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117826-117889
Conditional Clifford-Steerable CNNs for PDE Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117890-117905
MaxSAT-Based Compression for Tsetlin Machines
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117906-117915
Deep Learning of Compositional Targets with Hierarchical Spectral Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117916-117938
Learning to Bet for Horizon-Aware Anytime-Valid Testing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117939-117967
With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117968-117987
Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:117988-118008
On the Theory of Continual Learning with Gradient Descent for Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118009-118036
Probabilistic Robustness Certificates against Adversarial Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118037-118055
Adaptive Symmetry Discovery for Dynamical System Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118056-118083
Towards Understanding Steering Strength
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118084-118133
On the Effect of Misspecifying the Embedding Dimension in Low-rank Network Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118134-118189
Maximum Likelihood Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118190-118245
State Space Model with Continuous Limit of HiPPO Matrix: Eigenvalue Analysis and Explicit Solution Formula
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118246-118279
Shuffling-Aware Optimization for Private Vector Mean Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118280-118308
Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118309-118333
INFER: Learning Implicit Neural Frequency Response Fields for Confined Acoustic Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118334-118353
On Regret Bounds of Thompson Sampling for Bayesian Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118354-118389
Improved Convergence Analysis of Topology Dependence in Decentralized SGD
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118390-118420
Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118421-118453
Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118454-118485
Unifying Adversarial Robustness and Training Across Text Scoring Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118486-118514
Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118515-118540
VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118541-118566
Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118567-118587
Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118588-118608
GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118609-118630
Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118631-118647
Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118648-118667
Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118668-118690
See, Act, Adapt: Active Perception for Unsupervised Cross-Domain Visual Adaptation via Personalized VLM-Guided Agent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118691-118708
Federated Graph Learning via Structure-Aware Fusion Using a Kalman Framework with Learnable Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118709-118747
CRPO: Character-centric Group Relative Policy Optimization for Role-aware Reasoning in Role-playing Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118748-118776
Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118777-118798
RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118799-118825
Escaping the Likelihood Trap: Geometric Diversity Optimization for Long-Form Image Captioning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118826-118842
Identifying and Mitigating Errors in Gradient Aggregation of Distributed Data Parallel Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118843-118868
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118869-118883
Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118884-118909
PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118910-118932
Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118933-118953
Reconstruction Outcomes Look Similar but Processes Differ: Improving Context Consistency and Coverage in Graph Masked Auto-Encoder
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118954-118971
Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118972-118987
The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:118988-119005
ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119006-119030
Glimpse: Geometry Learning of Multi-scale Structural Priors for 3D Pose Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119031-119045
When Generalized Zero-Shot Learning Meets PU Learning: A Plug-and-Play Framework for Seen-Class Bias Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119046-119068
Federated Data and Feature Selection by Generalized CUR Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119069-119084
The Extra Tokens Matter: Disentangled Representation Learning with Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119085-119114
Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119115-119142
Artemis: Structured Visual Reasoning for Perception Policy Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119143-119167
Rational Neural Networks have Expressivity Advantages
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119168-119205
MineDraft: A Framework for Batch Parallel Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119206-119233
Learning to Rank by Directly Optimizing Full-Order Probabilities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119234-119257
SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119258-119285
Thinking in Latent Space: Progressive Multimodal Simplification for Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119286-119298
CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119299-119327
RSPO: Regularized Self-Play Alignment of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119328-119350
Euclean: Automated Geometry Problem Formalization with Unified Verification in Lean
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119351-119371
Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119372-119401
NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119402-119422
SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119423-119442
HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119443-119465
Do Language Models Track Entities Across State Changes?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119466-119503
CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119504-119519
Dense associative memory for Gaussian distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119520-119552
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119553-119569
The Devil is in the Spectrum: Mitigating Representation Collapse in LLMs via Topologically Regularized Side-Path
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119570-119591
Prioritized Model Experience Replay
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119592-119615
Latent Space Robust Optimization of Neural Processes with Aligned Stratified Order-Statistic Loss Reduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119616-119642
ReflFlow: Learning Geometry-Guided Ray Tracing for Dynamic Specular Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119643-119658
The Geometric Origin of Grokking: Accelerating Generalization via Active Structural Reorganization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119659-119682
Gradient Testing and Estimation by Comparisons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119683-119711
Bayesian Tensor Decomposition with Diffusion Model Prior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119712-119734
Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119735-119757
PAWS: Preference Learning with Advantage-Weighted Segments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119758-119779
Progressive Cramming: Reliable Token Compression and What It Reveals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119780-119815
MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119816-119836
The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119837-119866
TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119867-119880
FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119881-119923
ModernVBERT: Towards Smaller Visual Document Retrievers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119924-119950
Dynamic Optimizations of LLM Ensembles with Two-Stage Reinforcement Learning Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119951-119977
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:119978-120038
Embedding Hybrid Systems into Continuous Latent Vector Fields
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120039-120069
InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120070-120088
Semi-Supervised Hypothesis Testing by Betting on Predictions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120089-120119
Taming the Loss Landscape of PINNs with Noisy Feynman–Kac Supervision: Operator Preconditioning and Non-Asymptotic Error Bounds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120120-120175
On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120176-120202
Unpaired Visual Editing with Self-Consistent Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120203-120221
CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120222-120287
SORA: Free Second-Order Attacks in Fast Adversarial Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120288-120347
Membership Inference Attacks for Unseen Classes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120348-120371
Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120372-120389
Generalized Schrödinger Bridge on Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120390-120418
MuLoCo: Muon is a Practical Inner Optimizer for DiLoCo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120419-120462
Coupled Cluster con MoLe: Molecular Orbital Learning for Neural Wavefunctions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120463-120489
Effects of Structural Reward Shaping on Biophysical Properties in RL-Trained Plasmid Generators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120490-120503
Calibrated Preference Learning: The Case of Label Ranking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120504-120543
CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120544-120572
LLMs Lean on Priors, Not Programming Language Semantics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120573-120619
Advancing SVD-based LLM Compression via Layer-Wise Error Model Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120620-120653
Deep Incentive Design with Differentiable Equilibrium Blocks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120654-120674
Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120675-120701
A Tight Theory of Error Feedback Algorithms in Distributed Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120702-120724
Connecting Independently Trained Modes via Layer-Wise Connectivity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120725-120752
Bridging the Gap Between Average and Discounted TD Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120753-120805
Is Data Shapley Not Better than Random in Data Selection? Ask NASH
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120806-120837
Beyond Benchmarks: Toward Causally Faithful Evaluation of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120838-120872
AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120873-120892
QPKO: Differentiable QP-Embedded Deep Koopman Framework for Modeling Nonlinear Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120893-120913
RGMem: Renormalization Group–inspired Memory Evolution for Language Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120914-120951
Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120952-120974
A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120975-120993
Neutral-Reference Prompting for Vision–Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:120994-121019
From Per-Image Low-Rank to Encoding Mismatch: Rethinking Feature Distillation in Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121020-121041
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121042-121073
LogicSAGE: Neuro-Symbolic Reasoning with Socratic-Guided Enhancement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121074-121092
LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121093-121108
Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121109-121197
Routing and Reasoned Evaluation with Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121198-121222
Joint Model and Data Sparsification via the Marginal Likelihood
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121223-121258
Content-Style Identification via Differential Independence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121259-121282
SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121283-121302
Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121303-121335
Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121336-121354
Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121355-121375
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121376-121411
Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121412-121442
Task-Awareness Improves LLM Generations and Uncertainty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121443-121466
MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121467-121482
CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121483-121498
Heterogeneous Customizable Personalized Federated Fine-Tuning Approach for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121499-121518
Beyond Language Modeling: An Exploration of Multimodal Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121519-121546
Is Code Better Than Language for Algorithmic Reasoning?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121547-121561
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121562-121589
Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121590-121614
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121615-121670
Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121671-121690
VideoMAETok: Boosting Video Diffusion Models via Masked Autoencoders as Tokenizers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121691-121705
Neural Control: Adjoint Learning Through Equilibrium Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121706-121724
Entropy-Aware Dynamic KV Cache Sparsification for Autoregressive Image Generation and Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121725-121742
AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121743-121756
RefChess: Training-Free Contextual Search for Zero-Shot Referring Image Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121757-121772
ProactiveLLM: Learning Active Interaction for Streaming Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121773-121791
Magnitude Distance: A Geometric Measure of Dataset Similarity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121792-121810
A Theory of Contrastive Learning with Natural Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121811-121840
Singular Bayesian Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121841-121911
Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121912-121951
Differentially Private Synthetic Data via APIs 4: Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121952-121984
Poison with Style: A Practical Poisoning Attack on Code Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:121985-122009
Conservation Laws for Modern Neural Architectures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122010-122043
Functional Equivalence in Attention: A Comprehensive Study with Applications to Linear Mode Connectivity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122044-122122
Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and Algorithm
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122123-122141
UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122142-122177
SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122178-122193
Unified Time Series Explanations via Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122194-122225
Looking Locally: Object-Centric Vision Transformers as Foundation Models for Efficient Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122226-122245
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122246-122267
Plain Transformers are Surprisingly Powerful Link Predictors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122268-122296
Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122297-122315
Creat3r: Confidence Reaggregation for Exploration-aware Active 3D Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122316-122330
$L^3$: Large Lookup Layers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122331-122350
Model-Preserving Adaptive Rounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122351-122370
Protein Circuit Tracing via Cross-layer Transcoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122371-122402
ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122403-122432
Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122433-122447
DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122448-122494
Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122495-122531
TPGDiff : Hierarchical Triple-Prior Guided Diffusion for Image Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122532-122545
Structure-Induced Information for Rerooting Levin Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122546-122565
Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122566-122605
SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122606-122627
Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122628-122651
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122652-122678
Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122679-122708
Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122709-122719
SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122720-122753
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122754-122774
Robust Causal Discovery in Real-World Time Series with Power-Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122775-122807
Gradient Descent as a Perceptron Algorithm: Understanding Dynamics and Implicit Acceleration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122808-122875
Near-Optimal Convergence of Accelerated Gradient Methods under Generalized and $(L_0,L_1)$-Smoothness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122876-122905
A Geometric Lens on Physics-Aligned Data Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122906-122926
Efficient DP-SGD for LLMs with Randomized Clipping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122927-122963
HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122964-122979
VeRO: A Harness for Agents to Optimize Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:122980-123012
The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123013-123039
Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123040-123107
How can embedding models bind concepts?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123108-123135
BLOCK-EM: Preventing Emergent Misalignment via Latent Blocking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123136-123175
Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123176-123202
RAIGen: Rare Attribute Identification in Text-to-Image Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123203-123233
Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123234-123253
Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123254-123278
Long-term Fairness with Selective Labels
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123279-123310
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123311-123330
Optimal Transport Group Counterfactual Explanations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123331-123354
FPTQuant: Function-Preserving Transforms for LLM Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123355-123382
DP-KFC: Data-Free Preconditioning for Privacy-Preserving Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123383-123415
Neural Low-Discrepancy Sequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123416-123433
Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123434-123464
Variance-Reduced $(\varepsilon, δ)-$Unlearning using Forget Set Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123465-123483
Symbal: Detecting Systematic Misalignments in Model-Generated Captions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123484-123511
Faster Query-Key Learning Sharpens Attention in Self-Attention Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123512-123537
Convergence of Steepest Descent and Adam under Non-Uniform Smoothness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123538-123595
Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123596-123627
Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123628-123652
Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123653-123687
Base Models Know How to Reason, Thinking Models Learn When
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123688-123732
MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123733-123764
Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123765-123794
Operationalising the Superficial Alignment Hypothesis via Task Complexity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123795-123815
Equalized Generative Treatment: Matching f-divergences for Fairness in Generative Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123816-123849
Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123850-123870
GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123871-123901
Multi-agent imitation learning with function approximation: linear Markov games and beyond
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123902-123947
Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123948-123974
On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:123975-124007
PACER: Acyclic Causal Discovery from Large-scale Interventional Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124008-124047
Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124048-124084
Hölder++: Improving the Quality-Coherence Trade-off in Multimodal VAEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124085-124107
Off-Policy Evaluation with Strategic Agents via Local Disclosure
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124108-124127
Riemannian Optimization for Fair Spectral Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124128-124142
$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124143-124170
Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124171-124204
New Bounds for Kernel Sums via Fast Spherical Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124205-124223
A Probabilistic Framework for LLM-Based Model Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124224-124278
A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124279-124317
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124318-124351
CAOS: Conformal Aggregation of One-Shot Predictors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124352-124370
Hidden in Plain Sight – Class Competition Focuses Attribution Maps
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124371-124403
Mitigating Conversational Inertia in Multi-Turn Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124404-124431
Saving Foundation Flow-Matching Priors for Inverse Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124432-124450
Gradient Inversion Attacks Beyond SGD
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124451-124470
RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124471-124491
Beyond Policy Training: Recursive Solution Search from Unannotated Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124492-124510
Multi-view Consistent Latent Action Learning for World Modeling and Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124511-124537
Video-SVD: Efficient Video Diffusion via Orthogonal Basis Composition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124538-124553
OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124554-124579
A Solver-Free Training Method for Predict-then-Optimize
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124580-124606
Corrected Samplers for Discrete Flow Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124607-124640
Error Analysis of Discrete Flow with Generator Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124641-124675
Active Policy Optimization for Individualized Dosing via Gradient Variance Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124676-124705
Multimodal Fact-Level Attribution for Verifiable Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124706-124736
Adversarial Dual On-Policy Distillation from Expressive Teacher
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124737-124763
Shortcut-Resistant CAM Distillation for Long-Tailed Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124764-124798
The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124799-124813
LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124814-124840
Automatically Finding Reward Model Biases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124841-124872
Backward SDEs-based Diffusion for Physics-Constrained Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124873-124895
FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124896-124929
Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124930-124948
Decoupling Regularization and Privacy in Differentially Private Ridge Regression and ERM
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124949-124968
General and Efficient Steering of Unconditional Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124969-124998
ActiveScope: Actively Seeking and Correcting Perception for MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:124999-125014
Training-Free Rate-Distortion-Perception Traversal With Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125015-125050
When RL Meets Adaptive Speculative Training: A Unified Training-Serving System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125051-125066
EVMbench: Evaluating AI Agents on Smart Contract Security
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125067-125099
DisPOSE: Projected Polystochastic Diffusion for Self-Supervised Multi-View 3D Human Pose Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125100-125126
Full-Spectrum Graph Neural Networks: Expressive and Scalable
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125127-125167
Temporal Straightening for Latent Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125168-125196
3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125197-125218
InfoGlobe: Local-and-Global Information-Preserving Statistical Manifold Learning for Single-Cell Transcriptomics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125219-125238
Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125239-125255
Automatic Layer Selection for Hallucination Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125256-125272
Reward-Preserving Counterfactual State Editing for Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125273-125296
Deep Ensemble Clustering for Visual Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125297-125318
Text Before Vision: Staged Knowledge Injection Matters for Agentic RLVR in Ultra-High-Resolution Remote Sensing Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125319-125333
RoboOmni: Actions Are Just Another Modality for Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125334-125358
DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125359-125374
Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125375-125414
ProphetKV: User-Query-Driven Selective Recomputation for Efficient KV Cache Reuse in Retrieval-Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125415-125434
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125435-125454
DiL: Discrete-anchored Representation Alignment for Semi-Supervised Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125455-125470
AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125471-125493
Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125494-125514
RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125515-125532
Probabilistic Bisection Algorithm Provably Achieves Exponential Convergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125533-125550
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125551-125586
CooT: Learning to Coordinate In-Context with Coordination Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125587-125625
T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125626-125650
Adaptive Coding Emerges in Stabilized Supralinear Networks Trained with Local Plasticity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125651-125671
When Attributes Disagree: Gradient Conflict in Image Aesthetic Assessment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125672-125697
The Power of Power Law: Asymmetry Enables Compositional Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125698-125729
Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125730-125762
[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125763-125776
UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125777-125791
Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125792-125824
Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125825-125863
Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125864-125895
Optimal Decision-Making Based on Prediction Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125896-125918
Sparse and Faithful Local Explanations with Piecewise Linear Surrogates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125919-125945
IBMA: Information Bottleneck-Based Multimodal Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125946-125972
Inference of Online Newton Methods with Nesterov’s Accelerated Sketching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:125973-126024
Credible Information Subset Decomposition: An End-to-End Multi-fidelity Learning Model by Modeling Label Information
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126025-126045
LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126046-126057
Ellipsoidal Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126058-126081
CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126082-126106
API: Adaptive Prototype Imputation for Incomplete Multimodal Sentiment Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126107-126118
Don’t Overthink with Pixels: Efficient Reasoning for Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126119-126145
Hydra-Nav: Object Navigation via Adaptive Dual-Process Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126146-126169
Learning Credal Ensembles via Distributionally Robust Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126170-126194
HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126195-126217
Global Credit Assignment via Dynamical Criticality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126218-126251
SAMT: Generating Structured Avatar Meshes and Textures from a Single Image
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126252-126263
Granularity-Aware Adaptive Classifier Expansion via Zero-Shot Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126264-126303
Dimensional Collapse in Transformer Attention Outputs: A Challenge for Sparse Dictionary Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126304-126331
StyleDistillation: A New Insight of Image Style Enables Personalized Aesthetic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126332-126357
Activation-Free Backbones for Image Recognition: Polynomial Alternatives within MetaFormer-Style Vision Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126358-126376
Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126377-126401
Model Merging Scaling Laws in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126402-126437
SLIM: Secure and Efficient Inference for Large Language Models on Untrusted Devices via TEEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126438-126464
RAGEN-2: Reasoning Collapse in Agentic RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126465-126497
Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126498-126515
Effective Model Pruning : Measuring the Redundancy of Model Components
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126516-126533
FaPS: A General and Fast Training Method for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126534-126557
TopAdapter: Topology-Aware Prompt Tuning for Efficient Point Cloud Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126558-126568
World-R1: Reinforcing 3D Constraints for Text-to-Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126569-126597
Harnessing Spectrum Video for Subject-Level Few-Shot and Cross-Montage EEG Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126598-126613
Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126614-126643
MoSA: Motion-constrained Stress Adaptation for Mitigating Real-to-Sim Gap in Continuum Dynamics via Learning Residual Anisotropy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126644-126668
WET: Mitigating World-Conditioned Knowledge Conflicts via World Entropy Tethering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126669-126691
Investigating Memory in Model-Free RL with POPGym Arcade
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126692-126733
Towards A Generative Protein Evolution Machine with DPLM-Evo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126734-126752
Intervene When It Doubts: Conjunction-Guided Interactive Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126753-126794
GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126795-126825
Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126826-126853
Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126854-126879
Dual-Calibration Multi-View Clustering via Compact Anchor Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126880-126890
Spherical Procrustes Alignment for Reliable Medical Audio Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126891-126906
Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126907-126929
FormalRx: Rectify and eXamine Semantic Failures in Autoformalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126930-126964
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126965-126987
Why Tree-Style Branching Matters for Thought Advantage Estimation in GRPO
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:126988-127024
TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127025-127039
Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127040-127064
Learning $U$-Statistics with Active Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127065-127088
The Truth Lies Somewhere in the Middle (of the Generated Tokens)
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127089-127117
PhaseAlign: Complex Phase Alignment for Stable Open-Vocabulary Semantic Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127118-127131
ProtoVAR: Efficient Dataset Distillation via Prototype-Guided Visual Autoregressive Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127132-127168
ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127169-127192
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127193-127208
DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127209-127229
PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127230-127252
When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127253-127271
AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127272-127292
LightWM: Training-Free Hierarchical Working Memory for Small Language Model Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127293-127314
The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127315-127354
EvReflection: Event-Driven Micro-Dynamics for Reflection Removal
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127355-127377
Discovering Differences in Strategic Behavior between Humans and LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127378-127411
ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127412-127426
Test-Time Guidance for Flow-Based Generative Models via Parallel Tempering on Source Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127427-127449
Negative Sampling From the Ground Up: A Redesign for Recommendations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127450-127466
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127467-127491
Elastic Diffusion Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127492-127508
Asymmetric Multi-View Clustering with Hyperbolic Uncertainty Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127509-127522
Beyond Single-View Indexing: Structure-Aware Multi-View Retrieval for Knowledge-Based VQA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127523-127544
AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient Clipping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127545-127572
NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127573-127588
Test-Time Debiasing with Probabilistic Prompts via Wasserstein Distance in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127589-127607
Anchored Policy Optimization: Mitigating Exploration Collapse via Support-Constrained Rectification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127608-127627
ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127628-127643
One Coin Has Two Sides: Single Positive Multi Label Learning from Salient Annotations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127644-127660
From Coarse to Fine: Deep Prototype Refinement Network for Few-Shot Point Cloud Semantic Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127661-127671
DeepHA: Scaling Action Chains Elicits Deep Hierarchical Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127672-127689
OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127690-127717
Reflect-then-Correct: Rebalancing Task Optimization for Generalizable Meta-Reinforcement Learning via Distributional Value Error Reduction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127718-127734
InfraRL: A Benchmark for Constrained Resource Allocation in Large-Scale Infrastructure Asset Management
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127735-127760
CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127761-127779
Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127780-127804
SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127805-127819
Lightweight Federated Incremental Learning via Decoupled Replay
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127820-127832
Universal Skeleton Understanding via Differentiable Rendering and MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127833-127865
CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127866-127883
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127884-127936
Learning Attribute–Affordance Hierarchies in Hyperbolic Space for Open-Vocabulary 3D Object Affordance Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127937-127952
SuCo: Sufficiency-guided Continuous Adaptive Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127953-127970
CausalRAG2: Hierarchical Causal Knowledge Graph Design for RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127971-127995
Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:127996-128033
Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128034-128050
Towards Understanding Massive Activations in Attention Sink Mechanism
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128051-128081
E-mem: Multi-Agent Based Episodic Context Reconstruction for LLM Agent Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128082-128103
Preference-Calibrated Optimization with Score-Level Distribution Alignment for Text-to-Image Diffusion Model Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128104-128122
Beyond Static Pipelines: Learning Dynamic Workflows for Text-to-SQL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128123-128144
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128145-128164
DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128165-128186
Semantic Impact–Driven Visual Scheduling for Vision Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128187-128206
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128207-128228
TwinQuant: Learnable Subspace Decomposition for 4-Bit LLM Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128229-128245
AICrypto: Evaluating Cryptography Capabilities of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128246-128286
Foreground-Aware Token Routing Vision Transformer for Real-Time Satellite Video Tracking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128287-128301
Fleet: Few Shots Lead Effective AI-generated Image Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128302-128326
VR-Thinker: Boosting Video Reward Models through Think-with-Image Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128327-128350
Mining Useful General Data for Low-Resource Domain Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128351-128389
DADP: Domain Adaptive Diffusion Policy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128390-128410
Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128411-128435
LakeQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128436-128463
EmWorld: Emotion World Model with Latent State Evolution for Scenario-Incremental Dynamic Facial Expression Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128464-128480
Inference Time Optimization with Confidence Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128481-128502
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128503-128534
Fix the Loss, Not the Radius: Rethinking the Adversarial Perturbation of Sharpness-Aware Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128535-128552
JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128553-128570
Partial Identification of Policy Values under Network Interference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128571-128597
Unbiased Alignment for Large Language Models with Noisy Preferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128598-128615
U$^3$CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128616-128636
InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128637-128672
Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128673-128683
Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128684-128713
Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128714-128741
LMM4-IC4K: A Large Multimodal Model Powered Integrated Circuit Footprint Geometry Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128742-128761
Large-capacity and Receiver Authenticable Generative Image Steganography
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128762-128777
Rooted Absorbed Prefix Trajectory Balance with Submodular Replay for GFlowNet Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128778-128809
TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128810-128827
AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128828-128848
Unveiling Prior-Data Fitted Networks on Causal Effect Estimation: Pre-Training or Fine-Tuning?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128849-128878
Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128879-128894
Language-based Trial and Error Falls Behind in the Era of Experience
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128895-128918
Q-SAM: Unlocking Sharpness-Aware Minimization for Generalization in Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128919-128936
Let EEG Models Learn EEG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128937-128967
Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128968-128989
MEDA: Medical-Oriented Activation Editing for Hallucination Mitigation in Medical Large Vision-Language Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:128990-129005
T-GINEE: A Tensor-Based Multilayer Graph Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129006-129029
On the Power of Source Screening for Learning Shared Feature Extractors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129030-129052
CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear Trees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129053-129130
Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129131-129156
Patterning: The Dual of Interpretability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129157-129184
Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129185-129220
ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129221-129251
Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129252-129280
FedPDG: Prediction Discrepancy–Guided Data Generation for Heterogeneous Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129281-129300
MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129301-129320
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129321-129362
BASIL: Scalable Bayesian Semi-supervised Clustering with Feature Selection and Adaptive Constraint Weighting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129363-129394
ABSINT-AI: Agentic Heap Abstractions for Abstract Interpretation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129395-129419
Persistent Semantic Entities in Tool-Augmented LLM Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129420-129451
EVOLVING ROLLOUTS: Harnessing Historical Experience for Web Agent Evolution in Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129452-129467
Bias in Zeroth-Order Normal Estimation for Decision-Based Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129468-129485
CSD: Content-aware Speculative Decoding for Efficient Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129486-129501
A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129502-129537
Refining Dual Spectral Sparsity in Transformed Tensor Singular Values
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129538-129603
What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129604-129631
Implicit Preference Alignment for Human Image Animation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129632-129651
StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129652-129672
Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129673-129695
FedHPro: Federated Hyper-Prototype Learning via Gradient Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129696-129718
OLion: Approaching the Hadamard Ideal by Intersecting Spectral and $\ell_∞$ Implicit Biases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129719-129739
Dynamic Linear Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129740-129752
Factored Latent Action World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129753-129775
Seeing is Solving: Unlocking Efficient Multimodal RL via View Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129776-129793
Zero-shot Active Mapping via Fused 360-BEV Representations and Vision–Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129794-129811
Learning Reward–Cost Balance in Safe RL via Score-Based World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129812-129831
Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129832-129850
Towards Diverse Scientific Hypothesis Search with Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129851-129891
AdaHC: Accelerating Multi-Token Prediction with Adaptive Head Chunking with Pipeline Parallelism
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129892-129907
Zero-Shot 3D Question Answering via Hierarchical View-to-Token Transportation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129908-129926
ThetaEvolve: Test-time Learning on Open Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129927-129958
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:129959-130003
Beyond Buffer Limits: Energy-Based Data Reassembly for Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130004-130031
Conformal Thinking: Risk Control for Reasoning on a Compute Budget
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130032-130046
CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130047-130068
Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130069-130093
Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130094-130109
Reason with Thumbnails, Answer with Focus: An Efficient and Effective Paradigm for Multimodal Grounded Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130110-130120
MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130121-130141
Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130142-130161
Target-Oriented Pretraining Data Selection via Neuron-Activated Graph
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130162-130182
d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130183-130211
Online Continual Learning with Dynamic Label Hierarchies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130212-130235
SparseInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130236-130256
Generalized Discrete Diffusion with Self-Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130257-130288
How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130289-130358
QuantWear: Quantum-scale Wear Particle Detection for Jet Engine Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130359-130374
Degradation-Aware Metric Prompting for Hyperspectral Image Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130375-130394
Anomaly-Preference Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130395-130409
Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130410-130425
Revisiting Spectral Representations in Generative Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130426-130443
FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130444-130462
Scaling by Diversified Experience for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130463-130482
Butterworth as Attention: Anisotropic Spectral Gating for Pansharpening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130483-130500
Mitigating the Safety–Utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130501-130518
Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130519-130549
A Very Big Video Reasoning Suite
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130550-130588
Deep Trajectory Supervision: Deep Supervision Strikes Back
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130589-130605
Prism: Spectral-Aware Block-Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130606-130622
MaMi-HOI: Harmonizing Global Kinematics and Local Geometry for Human-Object Interaction Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130623-130640
Zero-Flow Encoders
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130641-130664
Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130665-130698
WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130699-130727
Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130728-130764
FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130765-130811
Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130812-130837
Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130838-130854
Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130855-130918
Agentic Model Predictive Questioning Control in Visual Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130919-130947
Reward Modeling from Natural Language Human Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130948-130979
MuCO: Generative Peptide Cyclization Empowered by Multi-stage Conformation Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:130980-131005
Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory Graph
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131006-131031
Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131032-131076
Sparser Block-Sparse Attention via Token Permutation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131077-131099
GradPower: Powering Gradients for Faster Language Model Pre-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131100-131123
Breaking Manifold Continuity: Vector Quantized Modeling for Real-Centric Deepfake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131124-131139
WorldCompass: Reinforcement Learning for Long-Horizon World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131140-131155
REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131156-131183
SL-VC: A Benchmark and Automated Framework for Separation Logic Verification Condition Proving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131184-131202
ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131203-131219
Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131220-131246
Mixing Configurations for Downstream Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131247-131262
Beyond Sample-Level Forgetting: Improving Reliability in Multimodal Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131263-131278
Adaptive Querying with AI Persona Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131279-131302
Tracking Drift: Variation-Aware Entropy Scheduling for Non-Stationary Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131303-131347
A Progressive Evidence Localization Framework Based on Wasserstein Gradient Flows for Document Visual Question Answering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131348-131372
Keep It in Mind: User Centric Continual Spatial Intelligence Reasoning in Egocentric Video Streams
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131373-131417
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131418-131450
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131451-131468
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131469-131511
Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131512-131531
SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131532-131552
Variable Clustering via Distributionally Robust Nodewise Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131553-131583
DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131584-131594
Milestone-Guided Policy Learning for Long-Horizon Language Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131595-131609
DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131610-131626
Optimizing Diversity and Quality through Base-Aligned Model Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131627-131673
Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131674-131691
Unbiased Reward Modeling from Implicit Feedback for LLM Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131692-131706
WorldTravel: A Realistic Multimodal Travel-Planning Benchmark with Tightly Coupled Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131707-131749
KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131750-131779
Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131780-131808
Towards Context-Invariant Safety Alignment for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131809-131825
Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131826-131845
MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131846-131866
$\mathbbR^2k$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131867-131888
GenExam: A Multidisciplinary Text-to-Image Exam
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131889-131920
Relational In-Context Learning via Synthetic Pre-training with Structural Prior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131921-131962
Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131963-131988
Cache Coherent Resampling for Efficient Test Time Scaling in LLM Reasoning via Adaptive Sequential Monte Carlo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:131989-132006
LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132007-132020
OmniFit: Bridging Modalities via Layer-Adaptive Token Compression for Omnimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132021-132042
Spiked-CFR: Causal Representation Learning from LLMs via Wasserstein Projection Pursuit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132043-132076
A Random Matrix Theory Perspective on the Consistency of Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132077-132128
MemPot: Defending Against Memory Extraction Attack with Optimized Honeypots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132129-132152
AES: Curing Optimizer Blindness in Long-Tailed Recognition via State-Aware Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132153-132183
The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132184-132214
Expressive Graph Neural Networks via Equivariant Use of Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132215-132238
Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132239-132257
PromptRL: Prompt Matters in RL for Flow-Based Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132258-132274
Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132275-132299
From Parameter Dynamics to Risk Scoring: Quantifying Sample-Level Safety Degradation in LLM Fine-tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132300-132324
Target-Driven Policy Optimization for Sequential Counterfactual Outcome Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132325-132351
PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132352-132386
Dual-branch Robust Unlearnable Examples
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132387-132399
Finding Stationary Points by Comparisons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132400-132432
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132433-132463
CLINIC: Towards High-quality Graph Out-Of-Distribution Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132464-132478
Scalable and Stable Estimation of Amari $α$-Divergence using Random Fourier Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132479-132513
ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132514-132540
LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132541-132570
Autobidding Auctions with LLM-Powered Creatives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132571-132594
Do LLMs "Feel"? Emotion Circuits Discovery and Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132595-132613
Co-Evolving Latent Action World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132614-132635
Covariance Volume Maximization for Embodied Latent Exploration in Deep Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132636-132662
LipoPU: Pocket-level Prediction of Lipid-Protein Interactions via Positive-Unlabeled Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132663-132682
RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132683-132702
Scale-Aware Domain Harmonization for Domain Adaptation Person Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132703-132713
CoPE: Continual Probe-guided Expansion for Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132714-132735
Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132736-132751
UniSVQ: 2-bit Unified Scalar-Vector Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132752-132764
ASIR: Steganography for Diffusion Models via Antipodal Sampling and Iterative Recovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132765-132779
ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132780-132797
Learning High-Frequency Continuous Action Chunks in Latent Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132798-132814
AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132815-132865
Exploring Data-Free LoRA Transferability for Video Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132866-132887
Geometry-Misalignment in Distributional Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132888-132931
Order Matters in Retrosynthesis: Structure-aware Generation via Reaction-Center-Guided Discrete Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132932-132963
SE(3)-Equivariant Flow Matching with Gaussian Process Priors for Geometric Trajectory Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132964-132981
Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov–Arnold Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:132982-133019
Hierarchical Decision Making with Structured Policies: A Principled Design via Inverse Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133020-133043
AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133044-133062
Fully Zero-Shot Image Dehazing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133063-133082
NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133083-133103
DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133104-133129
MiVE: Multiscale Vision-language features for reference-guided video Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133130-133145
S-Quant: Rethinking Weight Quantization with Seed-Based Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133146-133158
TileSparse: Arithmetic-Intensity-Aware Sparse Attention for Compute-Bound LLM Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133159-133172
Treatment Responder Classification with Abstention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133173-133194
Consistent Zero-Shot Imitation with Contrastive Goal Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133195-133214
Benchmarking World-Model Learning with Environment-Level Queries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133215-133246
TimeSpot: Benchmarking Geo-Temporal Understanding in Vision–Language Models in Real-World Settings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133247-133304
Explainable Federated Learning via Global–Local Attribution Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133305-133330
Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133331-133376
Solving Inverse Problems with Flow-based Models via Model Predictive Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133377-133402
Hedging on the Frontier: Learning New Tasks with Few Samples
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133403-133467
Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133468-133499
Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133500-133523
Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133524-133537
Dynamic Compression Flows for Neuroscience Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133538-133560
SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133561-133580
NavOL: Navigation Policy with Online Imitation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133581-133596
Variational Adapter for Cross-modal Similarity Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133597-133617
RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133618-133639
When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133640-133659
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133660-133688
Rethinking Federated Prompt Learning for Medical Images: From Textual Tuning to Visual Manifold Anchoring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133689-133709
Topological Active Inference for Task Disambiguation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133710-133735
EvoMAS: Heuristics in the Loop—Evolving Smarter Agentic Workflows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133736-133763
Pix2Key: Controllable Open-Vocabulary Retrieval with Semantic Decomposition and Self-Supervised Visual Dictionary Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133764-133777
Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133778-133815
ReViT: Rotational-equivariant Vision Transformers for Neural PDE Solvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133816-133854
EvoC2F: Compiling Tool Orchestration for Efficient and Evolvable LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133855-133884
TEAM: Temporal–Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133885-133900
Deep neural networks divide and conquer dihedral multiplication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133901-133958
The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133959-133989
PerceptionRubrics: Calibrating Multimodal Evaluation to Human Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:133990-134014
Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134015-134045
SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134046-134074
Toward Training Superintelligent Software Agents through Self-Play SWE-RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134075-134095
Return of Frustratingly Easy Unsupervised Video Domain Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134096-134115
ManiSoft: Towards Vision-Language Manipulation for Soft Continuum Robotics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134116-134134
Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134135-134155
TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134156-134175
A-MemGuard: A Proactive Defense Framework For LLM-Based Agent Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134176-134202
PSMix: Robust Point Cloud Recognition through Spectral Domain Mixing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134203-134217
Token-Free Hierarchical Indexing for RAG beyond LLM-based Summarization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134218-134231
Open-Text Aerial Detection: A Unified Framework For Aerial Visual Grounding And Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134232-134252
GeoLoom: High-quality Geometric Diagram Generation from Textual Input
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134253-134274
RECOVER: Reliable Detection of Unauthorized Data Usage in Text-to-Image Diffusion Models via Inversion Robustness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134275-134299
Exploration-free Algorithms for Multi-group Mean Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134300-134331
A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134332-134370
Scalable Bayesian Inference for Nonlinear Conservation Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134371-134397
The Role of Target Update Frequencies in Q-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134398-134423
STAND: Self-Aware Precondition Induction for Interactive Task Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134424-134443
Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134444-134471
MAGIC: A Co-Evolving Attacker–Defender Adversarial Game for Robust LLM Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134472-134505
The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134506-134530
HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134531-134554
When LLMs Encounter Open-world Graph Learning: A Fresh View on Unlabeled Data Uncertainty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134555-134594
Coupled Variational Reinforcement Learning for Language Model General Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134595-134613
Learning Efficient Guardrails for Compliance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134614-134630
FOAM: Blocked State Folding for Memory-Efficient LLM Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134631-134656
Robust Sequential Experimental Design for A/B Testing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134657-134689
Progressive Graph Structure Adjustment for Homophily Shift Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134690-134719
Contextualized Privacy Defense for LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134720-134747
The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134748-134776
Improved Bounds for Private and Robust Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134777-134800
On the Variability of Concept Activation Vectors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134801-134855
Hide and Seek in Embedding Space: Geometry-based Steganography and Detection in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134856-134876
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134877-134896
Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134897-134922
KernelFoundry: Hardware-Aware Evolutionary GPU Kernel Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134923-134945
Adaptive Reinforcement Learning for Unobservable Random Delays
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:134946-135011
Propose, Solve, Verify: Self-Play Through Formal Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135012-135029
Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135030-135053
Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135054-135093
Is the Last Layer Sufficient for Uncertainty Quantification?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135094-135132
Learning syntax without semantics: Disentangled tiny language models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135133-135160
Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135161-135186
Learning Compressed Shape-Aware Molecular Representations for Virtual Screening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135187-135199
Exactly Computing do-Shapley Values
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135200-135231
Which Algorithms Can Graph Neural Networks Learn?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135232-135307
Universal Algorithm-Implicit Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135308-135325
UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135326-135348
Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135349-135370
Toward Calibrated Mixture-of-Experts Under Distribution Shift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135371-135400
A3: an Analytical Low-Rank Approximation Framework for Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135401-135422
Riemannian MeanFlow
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135423-135467
DAVE: Distribution-Aware Attribution via ViT Gradient Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135468-135511
Query Circuits: Explaining How Language Models Answer User Prompts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135512-135542
Optimal Stopping in Latent Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135543-135569
Diffusion Models Are Statistically Optimal for Learning Low-Dimensional Multi-Modal Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135570-135594
Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135595-135608
Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135609-135671
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135672-135690
LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135691-135701
GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135702-135717
Efficient Diffusion Models via Time Step Optimization with Consistent Training and Inference Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135718-135732
Multi-scale Explainer for Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135733-135745
HumanLM: Simulating Users with State Alignment Beats Response Imitation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135746-135775
TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135776-135802
VLANeXt: Recipes for Building Strong VLA Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135803-135820
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135821-135859
EasyBalance: Cross-Layer Load Balancing in Distributed MoE Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135860-135873
OpenDeception: Learning Deception and Trust in Human–AI Interaction via Multi-Agent Simulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135874-135897
SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135898-135912
Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135913-135931
GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135932-135959
Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135960-135978
An Empirical Study on the Resilience of Partial Merging to Model Clone Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135979-135993
Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:135994-136007
Towards Seed-Robust Safety Alignment in Text-to-Image Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136008-136026
Hyperbolic neural population geometry benefits computation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136027-136063
KODA: Contrastive Representation Comparison and Alignment for Vision-Language Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136064-136097
Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136098-136126
Adaptively Grouped Contextual Bandits for Heterogeneous Human-AI Decision Making with Conformal Prediction Sets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136127-136192
Don’t Reinvent the Wheel, Just Realign the Spokes: Resource-Efficient Federated Fine-Tuning via Rank-Wise Expert Assembly
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136193-136214
Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136215-136232
Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136233-136282
Frequency-Aware Perceptual Optimization for Low-Complexity Implicit Image Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136283-136330
Learning Generalized Label Distributions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136331-136350
Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136351-136369
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136370-136410
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136411-136426
Matrix-Free GPU Semidefinite Programming for Quantum Ordered Search at the k=6 Frontier
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136427-136439
Flow for Future: Geometric SE(3)-Equivariant Flow Matching for 3D Trajectory Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136440-136458
Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136459-136501
The Mechanistic Emergence of Symbol Grounding in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136502-136521
MulFCoder: Framework-conditioned Multi-agent for MLLM-based Multi-framework Front-end Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136522-136538
Are Large Reasoning Models Interruptible?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136539-136581
RefineEvo: Planning-Guided Heuristic Evolution with Bidirectional Experience
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136582-136624
Motion Attribution for Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136625-136646
AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136647-136675
Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136676-136706
REVIS: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136707-136724
$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136725-136754
Certifying Capabilities from Finite Tests: When Is It Possible?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136755-136773
Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136774-136796
Attention Sinks in Diffusion Transformers: A Causal Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136797-136820
PortraitRL: Reinforcement Learning for Portrait Pose Transfer with Multi-Objective Reward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136821-136837
Beyond Majority Voting: Self-Reflective Test-Time Reinforcement Learning for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136838-136852
From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136853-136879
Score Correction for Generative Models with Probabilistic Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136880-136914
Reasoning Compartmentalization: Bridging the Concretization Gap via Abstraction-based Routing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136915-136936
ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136937-136980
Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:136981-137023
From Interactions to Principles: Experience-Driven Self-Distillation for Evolving LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137024-137044
Language Model Networks: Supervision-Efficient Learning through Dense Communication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137045-137062
Time-Series Decomposition as a Standalone Task: A Mechanism-Driven Diagnostic Benchmark
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137063-137084
SpatioLM: Towards General Physical Spatial Intelligence in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137085-137111
Neural–Evolutionary Symbolic Regression with Global Constraints: Constraint-Aware Decoding and Reward Shaping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137112-137139
One Bug, Hundreds Behind: LLMs for Large-Scale Bug Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137140-137154
When Data Is Scarce: Scaling Sparse Language Models with Repeated Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137155-137176
CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137177-137208
HiST: A Hierarchical Sparse Transformer for Cross-Modal Spatial Transcriptomics Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137209-137227
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137228-137251
From Interaction Trajectories to Prompt Rules: Credit Assignment for Multi-Agent Prompt Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137252-137271
Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137272-137305
Trajectory-Aware Certified Decentralized Unlearning via SGD Stability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137306-137333
Why Self-Distillation Helps and Hurts: Denoising vs. Signal Forgetting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137334-137367
Speedup Patch: Learning a Plug-and-Play Policy to Accelerate Embodied Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137368-137389
Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137390-137426
Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137427-137442
Furina: Fragmented Uncertainty-Driven Refusal Instability Attack
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137443-137474
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137475-137491
Beyond Literal Translation: Evaluating Cultural Effectiveness in Social Media UGC
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137492-137512
A Game-Theoretic Analysis of Attacks on Large Language Models via Compositional Skills
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137513-137543
CHESS: Chebyshev Spectral Synthesis for Trajectory Condensation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137544-137578
Tabero: Learning Gentle Manipulation with Closed-Loop Force Feedback from Vision, Touch, and Language
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137579-137593
Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137594-137608
BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137609-137630
What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137631-137670
HieraScaffold: Learning Compact Hierarchical Representations for Scalable 4D LiDAR Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137671-137689
VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137690-137711
Distributional Inverse Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137712-137743
LagLLM: LLM-empowered lead–lag dependency learning for spatial-temporal time series forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137744-137755
Rank-guided Diffusion for Noise Few-Shot Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137756-137778
PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137779-137815
rePIRL: Learn PRM with Inverse RL for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137816-137834
CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137835-137855
Hierarchical Goal Abstractions via Learned Subset Relations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137856-137880
Q-Tab: Quantized Tabular Data Generator
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137881-137901
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137902-137925
Video-BCI: Bayesian Cognitive Integration of Self-Prior Hypotheses for Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137926-137947
Does Reinforcement Fine-Tuning Improve Generalization of LLM Agents? An Empirical Study
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137948-137970
Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137971-137986
LoSA: Locality Aware Sparse Attention in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:137987-138002
Large Vision-Language Models Get Lost in Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138003-138027
Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138028-138040
Spectral Bridge Variational Inference: Dynamic LoRA via Bures-Wasserstein Gradient Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138041-138067
Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138068-138086
Factored Classifier-Free Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138087-138140
EchoAttention: Exploiting Token-Pair Redundancy and Frame-Block Similarity for Efficient Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138141-138164
BuildArena: A Physics-Aligned Interactive Benchmark of LLMs for Engineering Construction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138165-138200
MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138201-138218
LazyAttention: Efficient Retrieval-Augmented Generation with Deferred Positional Encoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138219-138238
DIVER: Diving Deeper into Distilled Data via Expressive Semantic Recovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138239-138259
Towards Scalable and Consistent 3D Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138260-138282
Boost the Identity-Preserving Embedding for Consistent Visual Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138283-138307
Adversarial Latent Embedding Repair for LLM Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138308-138351
Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138352-138381
SDiD: Shared Diffusion Prior for Efficient Distribute Stereo Image Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138382-138397
VIA-SD: Verification via Intra-Model Routing for Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138398-138426
From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138427-138446
Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138447-138462
Rethinking Genomic Modeling Through Optical Character Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138463-138509
Multilingual Unlearning in LLMs: Transfer, Dynamics, and Reversibility
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138510-138541
New Wide-Net-Casting Jailbreak Attacks Risk Large Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138542-138566
MOD-SR: Unifying Multimodal Learning and Direct Optimization with Gradient-Guided Diffusion Model for Symbolic Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138567-138586
Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138587-138601
Spike Camera Autofocus via Frequency-Domain Spectral-Centroid Migration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138602-138616
Seeing the Unseen: Physics-as-Representation for Generalizable Gaze Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138617-138628
Influence-Disentangled Federated Training: Learning Models That Are Easy to Unlearn
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138629-138649
Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138650-138669
PixCLIP: Towards Fine-grained Vision-Language Understanding via Any-granularity Pixel-Text Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138670-138688
Drop-in Circulant Structural Priors for Transformer Decoding of Cyclic Codes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138689-138707
Functional Attention: From Pairwise Affinities to Functional Correspondences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138708-138733
How Do Language Models Speak Languages? A Case Study on Unintended Code-Switching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138734-138771
AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit Schematic
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138772-138793
Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138794-138829
Capacity-Agnostic Parameter Isolation for Continual Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138830-138854
Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138855-138883
Generalized Correctness Models: Learning Calibrated and Cross-Model Correctness Predictors from Historical Patterns
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138884-138908
Copula-SVI: Vine-Copula Variational Inference with Stein Refining for Instance-Level Correlation Capturing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138909-138937
AIR: Improving Agent Safety through Incident Response
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138938-138951
WebWorld: A Large-Scale World Model for Web Agent Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138952-138977
FedHera: Towards Drift-Resilient Federated Fine-tuning with Heterogeneous Resources
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:138978-139003
Editable Proof Sketch for Automated Theorem Proving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139004-139019
Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139020-139043
LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139044-139068
Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139069-139085
CoverPruneGS: Coverage-Preserving Structured Pruning for Compact 3D Gaussian Splatting from Sparse-View Monocular Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139086-139101
Offline Multi-agent Continual Cooperation via Skill Partition and Reuse
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139102-139130
MACD: Model-Aware Contrastive Decoding via Counterfactual Data for Video-LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139131-139146
When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139147-139165
Sobolev Regularized Score Difference Estimation in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139166-139217
Cost-aware Stopping for Bayesian Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139218-139261
A Narrowing Geometry in Contaminated Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139262-139304
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139305-139322
Dissecting the Safety Circuit: Neuronal Intervention for Transferable Adversarial Attacks on VLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139323-139338
SHERPA: Fine-tuning Segment Anything Models with Task-relevant Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139339-139361
Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139362-139392
Self-Supervised Weight Templates for Scalable Vision Model Initialization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139393-139408
Rethinking Code Complexity Through the Lens of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139409-139427
Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139428-139444
FedUSD: Unbiased Synthetic Data for Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139445-139470
Finding the Correct Visual Evidence Without Forgetting: Mitigating Hallucination in LVLMs via Inter-Layer Visual Attention Discrepancy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139471-139490
Enhanced Latent-Space Adversarial Training for Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139491-139506
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139507-139546
Hybrid-Gym: Training Coding Agents to Generalize Across Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139547-139563
Where Concept Erasure Should Occur: Concept–Layer Alignment in Text-to-Video Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139564-139582
Controlled LLM Training on Spectral Sphere
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139583-139598
BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139599-139619
Training-Free Multimodal Large Language Model Orchestration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139620-139636
AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139637-139658
SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139659-139683
Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139684-139702
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139703-139735
FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139736-139758
Statistical Early Stopping for Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139759-139785
mHC: Manifold-Constrained Hyper-Connections
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139786-139802
AnyCanvas: Potential Field Guidance for Training-Free Spatial Control in Text-to-Image Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139803-139816
SkillNet: Hierarchical Skill Modeling for Compositional Generalization in Vision-Language Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139817-139846
Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139847-139891
Probing How Scalable Table Data Enhances General Long-Context Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139892-139918
Instruction Decomposition and Action Alignment for Vision-and-Language Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139919-139934
FedVeer: Self-Adaptive Skew Estimation for Robust Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139935-139952
APE-Bench: Evaluating Automated Proof Engineering for Formal Math Libraries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139953-139965
BFS-Prover-V2: Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139966-139998
pTNAS: Progressive Neural Architecture Search for Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:139999-140030
Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140031-140045
PretrainZero: Reinforcement Active Learning on Pretraining Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140046-140059
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole Slide Image Survival Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140060-140084
Referring Multiple Regions with Large Multimodal Models via Contextual Latent Steering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140085-140105
GePBench: Evaluating Fundamental Geometric Perception for Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140106-140132
Native Active Perception as Reasoning for Omni-Modal Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140133-140152
Learning to Decode Against Compositional Hallucination in Video Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140153-140188
Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140189-140205
Variational Bayesian Flow Network for Graph Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140206-140230
Monitorability as a Free Gift: How RLVR Spontaneously Aligns Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140231-140252
Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140253-140283
Enhancing Cross-subject Emotion Recognition via Heterogeneous Distribution Augmentation and Collaborative Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140284-140308
NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140309-140323
EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140324-140359
RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140360-140380
Learning to Reconfigure: Configuration-Control Co-optimization of Reconfigurable Robots for Heterogeneous Locomotion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140381-140405
Automated Formal Proofs of Combinatorial Identities via Wilf–Zeilberger Guidance and LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140406-140434
KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140435-140461
Principled SVD-based Delta Compression via Quantization Error Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140462-140480
Blocking the Leakage: Manifold-Aware Gradient Projection for Long-Horizon Test-Time Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140481-140507
Multimodal Fusion via Self-Consistent Task-Gradient Fields
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140508-140524
Geometry-based Schrödinger Bridges for Trustworthy Multimodal Fusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140525-140542
VGGT-Motion: Motion-Aware Calibration-Free Monocular SLAM for Long-Range Consistency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140543-140566
Token-Level LLM Collaboration via FusionRoute
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140567-140586
Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140587-140612
SFCLTA: Spectral Fusion Contrastive Learning with Topology-Adaptive Graph Augmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140613-140628
Credibility-Aware Weighting Federated Causal Discovery for Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140629-140654
Information Flow Reveals When to Trust Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140655-140674
NeuronCtrl: Geometry-Aware Safe Closed-Loop Generative Control for Neuronal Microenvironment Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140675-140728
Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140729-140749
User-Aware Active Knowledge Acquisition for Emotional Support Dialogue
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140750-140774
Generalist Graph Anomaly Detection via Prototype-Based Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140775-140799
DLLMQuant: A Post-Training Quantization Framework Tailored for Diffusion-Based Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140800-140815
Discretized Density-Guided Source-Free Domain Adaptation for Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140816-140848
Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140849-140877
SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140878-140902
PLaID++: A Preference Aligned Language Model for Targeted Inorganic Materials Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140903-140922
Neural Honeytrace: Plug&Play Watermarking Framework against Model Extraction Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140923-140939
AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140940-140963
Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140964-140992
D$^3$: Dynamic Directional Graph-Constrained Data Scheduling for LLM Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:140993-141014
Towards Efficient LLMs Annealing with Principled Sample Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141015-141029
Unveiling the Entropy Dynamics of Chain-of-Thought Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141030-141050
BPL: Generalizable Deepfake Detection via Bias-only Pair-aware Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141051-141065
Grouter: Decoupling Routing from Representation for Accelerated MoE Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141066-141086
Error Amplification Limits ANN-to-SNN Conversion in Continuous Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141087-141105
Robust Contextual Optimization with Missing Covariates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141106-141167
VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141168-141183
DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141184-141203
Antidistillation Fingerprinting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141204-141231
Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141232-141249
Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141250-141264
Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141265-141295
See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141296-141323
LORD-GoF: A Robust Online Detection Approach for LLM Watermarks in Sparse and Mixed Streams
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141324-141350
Low Kruskal-Rank Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141351-141366
Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141367-141403
Large-Scale Notification Dispatch with Bundle Treatments and Multi-Outcome Uplift Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141404-141419
Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141420-141449
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141450-141468
B-Spar: Bayesian Sparse-Reward Modeling for RL-based Image Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141469-141484
Self-supervised Hierarchical Visual Reasoning with World Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141485-141501
DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141502-141518
Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141519-141545
Motion-Aware Caching for Efficient Autoregressive Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141546-141564
Formalizing Learning from Language Feedback with Provable Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141565-141599
Identifying dependent components from multi-domain linear mixtures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141600-141628
Simultaneous Confidence Bounds for Aggregated Effects via Exact Subset Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141629-141656
A Formal Comparison Between Chain of Thought and Latent Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141657-141685
Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141686-141706
SleepLM: Natural-Language Intelligence for Human Sleep
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141707-141738
A Bi-metric Framework for Efficient Nearest Neighbor Search
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141739-141766
Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141767-141808
Semantic-Enriched Latent Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141809-141832
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141833-141852
A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground Truth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141853-141886
Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141887-141911
Finding Differentially Private Second Order Stationary Points in Stochastic Minimax Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141912-141935
A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141936-141949
BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141950-141964
To Grok Grokking: Provable Grokking in Ridge Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141965-141987
EigenCache: Rethinking Diffusion Acceleration as Covariance-Optimal Forecasting and Submodular Information Allocation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:141988-142008
Fingerprinting Pre-trained Encoders under Arbitrary Downstream Fine-Tuning via Adversarial Shifting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142009-142028
CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142029-142043
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142044-142061
TIME: Tensor-Factorized Mixture-of-Experts with Intrinsic Routing for Lifelong Multimodal Knowledge Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142062-142086
Unlocking Cross-Modal Biosignal Synthesis: A Temporally-Aware VAE-Diffusion Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142087-142111
Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Value Flow Mechanism
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142112-142157
Hearing Without Noticing? Attention-Aware Stealthy Black-Box Adversarial Audio Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142158-142175
PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142176-142192
D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142193-142222
LIMSSR: LLM-Driven Sequence-to-Score Reasoning under Training-Time Incomplete Multimodal Observations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142223-142248
LMCleaner: Efficient and Certified Online Unlearning via Influence Propagation Truncation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142249-142281
Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142282-142307
A Cartesian-3j Framework for Machine Learning Interatomic Potentials
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142308-142323
MORE: A Multilingual Document Parsing Benchmark and Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142324-142345
Neural-Inspired Modeling of Auditory Selection and Compensation for Audio-Visual Speech Separation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142346-142370
Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142371-142416
From Internal Diagnosis to External Auditing: A VLM-Driven Paradigm for Data-Free Online Backdoor Defense
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142417-142441
Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142442-142464
Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142465-142496
Weak-to-Strong Generalization via Bregman Bias–Variance Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142497-142525
Doubly Robust Distributionally Robust Offline Contextual Pricing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142526-142565
Unlocking Zero-Shot Geospatial Reasoning via Indirect Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142566-142599
How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142600-142632
Towards One-to-Many Temporal Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142633-142656
Unlearning Isn’t Deletion: Investigating Reversibility of Machine Unlearning in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142657-142704
No Need to Train Your RDB Foundation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142705-142726
LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142727-142747
SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142748-142765
Modeling Long-Tail Relations in the Operating Room via In-Context Multimodal Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142766-142775
CalM: A Self-Supervised Foundation Model for Population Dynamics in Calcium Imaging Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142776-142795
Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142796-142814
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142815-142837
GenShield: Unified Detection and Artifact Correction for AI-Generated Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142838-142863
Beyond Drift: Stabilizing Subjective LLM Evaluation with Information-Theoretic Rubrics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142864-142881
Training-Free Vector Quantization via Gaussian VAEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142882-142904
Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142905-142927
Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142928-142961
Dynamics Are Learned, Not Told: Semi-Supervised Discovery of Latent Dynamics Geometries For Zero-Shot Policy Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142962-142988
Gradient Flow Sampler-based Distributionally Robust Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:142989-143015
On Learnability and Disambiguation of Multiclass Partial Concept Classes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143016-143031
Path-Coupled Bellman Flows for Distributional Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143032-143062
SVD as a Fast Interpretability Method for Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143063-143121
Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143122-143145
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143146-143169
Physics-Guided Motion Loss for Video Generation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143170-143193
Learning Disentangled Multi-Agent World Model for Decentralized Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143194-143215
Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143216-143235
Scalable and General Whole-Body Control for Cross-Humanoid Locomotion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143236-143254
R2-Router: A New Paradigm for LLM Routing with Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143255-143268
FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143269-143281
ERGeoBench: A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143282-143298
Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143299-143319
GRPO-based Cluster Decision Agent for Unknown-$\boldsymbolK$ Multi-view Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143320-143331
Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143332-143358
More Capable, Less Cooperative? When LLMs Fail at Zero-Cost Collaboration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143359-143379
OptiFluence: Principled Design of Privacy Canaries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143380-143406
PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143407-143439
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143440-143461
Tree-Structured Orthonormal Decomposition of the Aitchison Simplex
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143462-143485
Left–Right Symmetry Breaking in CLIP-Style Vision-Language Models Trained on Synthetic Spatial-Relation Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143486-143524
Quaternion Self-Attention with Shared Scores
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143525-143550
LLM-Guided Diagnostic Evidence Alignment for Medical Vision–Language Pretraining under Limited Pairing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143551-143566
Taylor-Gaussians-Flow: Towards Non-uniform Motion for Novel View Synthesis from Monocular Video
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143567-143578
Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143579-143618
Beyond Accuracy: Latent Perturbations for Cognitive-Aware Diagnosis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143619-143644
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143645-143693
Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143694-143725
Rethink the Role of Neural Decoders in Quantum Error Correction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143726-143759
DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143760-143774
MV-FGAD: Towards Efficient and Effective Federated Graph Anomaly Detection via Multi-view Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143775-143794
Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143795-143815
GLARE: Scalable Neuro-Symbolic Reward Shaping for LLM Agents via Group-Level Automata
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143816-143839
Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143840-143860
Design Linear Constrained Neural Layers with Implicit Convex Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143861-143885
MemIncept: Steering LLM Agents via Cooperative Stealthy Memory Injections
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143886-143907
Arboreal Neural Network
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143908-143920
ORBIT: A Prognostic World Model for Ocular Reasoning Based on Imagined Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143921-143949
PLoRA: Efficient Concurrent LoRA Training for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143950-143966
Can VLMs Diagnose and Recover from VLA Manipulation Faults?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143967-143983
From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:143984-144038
CircuitPrint: Mechanistic Circuit Fingerprints for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144039-144068
SPUR: Scale-Partitioned Uncertainty Rectification for Robust UAV-on-UAV Interception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144069-144085
Rethinking Serialization in Linear 3D Vision: Decoupling Anisotropic Geometry from Isotropic Semantics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144086-144099
GRASP: Awakening Latent Spatial Reasoning in LVLMs via Training-free Geometric Rectification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144100-144122
Robust Federated Learning Against Adaptive Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144123-144143
CE$^4$L: Continual Ego, Exo, and Ego-Exo Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144144-144166
A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144167-144186
SpecExit: Accelerating Large Reasoning Model via Speculative Exit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144187-144210
Preconditioning Neural Tangent Kernel for Adaptive Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144211-144226
Length Generalization Bounds for Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144227-144248
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144249-144274
Generalizable and Composable Multi-Model Embedding Translation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144275-144302
Towards Understanding Generalization of Federated Adversarial Learning: Perspective of Algorithmic Stability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144303-144328
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144329-144386
Concept Concentration for Faithful Representation Intervention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144387-144415
PISA: Privacy-Preserving Split Adaptation with Model IP Protection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144416-144434
Enhancing Protein-Protein Interaction Prediction with Hierarchical Motif-based Multimodal Protein Embedding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144435-144453
Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144454-144469
FairGB: A Fair Granular-Ball Generation Method for Data Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144470-144490
CIRBench: Evaluating Large Language Models as LLVM IR Optimizers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144491-144544
FairJudge : An Adaptive, Debiased, and Consistent LLM-as-a-Judge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144545-144563
A Direct Second-Order Method for Solving Two-Player Zero-Sum Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144564-144586
IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144587-144604
Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144605-144622
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144623-144642
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144643-144669
Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144670-144682
DuRP: Dual-Stage Physics-Embedded Learning for Joint Radiance and Polarization Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144683-144704
UI2Code$^\textN$: UI-to-Code Generation as Interactive Visual Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144705-144731
Turning Bias into Bugs: Bandit-Guided Style Manipulation Attacks on LLM Judges
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144732-144760
From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144761-144795
From Observations to States: Latent Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144796-144819
DeCoDe: Decoupling Binding Position and Molecular Conformation in 3D Ligand Diffusion for Structure-Based Drug Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144820-144834
Absorbing Quantization Error by Deformable Noise Scheduler for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144835-144865
Why Dedicated Critics: Eliminating Target Drift in Multi-Constraint RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144866-144925
Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144926-144951
Multi-Distribution Robust Conformal Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:144952-145007
MUSE: Resolving Manifold Misalignment in Visual Tokenization via Topological Orthogonality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145008-145027
Multi-Objective Bayesian Optimization via Adaptive $\varepsilon$-Constraints Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145028-145051
Kronecker Generative Networks: A General Neural Architecture for Parameter-Efficient Learning Across Classification Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145052-145075
Proteus: Lookup-Free Trellis-Coded Quantization by Lattice-Breaking Compute Codes for 2-Bit LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145076-145089
SPR-RAFT: Parameter-Efficient Regression-Aware Fine-Tuning for Biomedical LLM Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145090-145108
Phase-Aware Mixture of Experts for Agentic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145109-145133
Deterministic Component Mining for Multi-Framework UI2Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145134-145147
Shared Lexical Task Representations Explain Behavioral Variability In LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145148-145220
How Powerful are LLMs in Generating Formal Program Specifications?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145221-145249
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145250-145274
ProSAR: Prototype-Guided Semantic Augmentation and Refinement for Time Series Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145275-145305
Reranker Helps, but Not Enough: Towards Strong Poisoning Attacks Against Retrieval-Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145306-145323
CodeClash: Benchmarking Goal-Oriented Software Engineering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145324-145387
Thinking in Structures: Evaluating Spatial Intelligence in Constraint-Governed Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145388-145423
Concept-Guided Tokenization: Closing the Gap Between Reconstruction and Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145424-145443
Beyond Description: Federated Adaptation via Semantic-Visual Prototype Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145444-145463
Second-Order Bilevel Optimization with Accelerated Convergence Rates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145464-145498
From Perception to Planning: Evolving Ego-Centric Task-Oriented Spatiotemporal Reasoning via Curriculum Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145499-145517
Step-Level Sparse Autoencoder for Reasoning Process Interpretation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145518-145531
Counterfactual Occlusion-Aware Learning via Visibility Intervention for LiDAR Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145532-145548
One-Way Policy Optimization for Self-Evolving LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145549-145564
Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary Signals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145565-145580
Towards Whole-corpus Reconstruction of Heterogeneous RAG Knowledge Bases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145581-145597
Batched Contextual Reinforcement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145598-145633
Improving the Sensitivity of Backdoor Detectors via Class Subspace Orthogonalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145634-145657
Semantic Robustness Certification for Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145658-145675
ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145676-145706
One-Shot Weighted Ensemble Estimation for Federated Quantile Regression: Optimal Statistical Guarantees under Heterogeneous Structured Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145707-145730
Toward Safe Quantization-Aware Fine-tuning: Understanding and Mitigating Safety Alignment Degradation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145731-145749
Wasserstein Geometry-Aware Adaptive Control via Meta-Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145750-145772
Forward-Chaining Temporal Point Process
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145773-145797
HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145798-145822
Diffusion Controller: Framework, Algorithms and Parameterization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145823-145854
Branching Diffusion for Point Processes in Time and Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145855-145876
Orthogonal Model Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145877-145894
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145895-145916
AgentTailor: A Semantic-Aware LLM-Based Multi-Agent System with Actor-Critic Structure
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145917-145938
Recursive Models for Long-Horizon Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145939-145967
Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145968-145982
DecFus: Decentralized Layer-wise Fusion with Dynamic Exploration and Exploitation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:145983-146008
WMVLM: Evaluating Diffusion Model Image Watermarking via Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146009-146029
ExVerus: Verus Proof Repair via Counterexample Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146030-146060
AutoMat: Physics-Guided Agentic Reasoning for Solving Ill-Posed Inverse Microscopy Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146061-146078
Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146079-146098
Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146099-146116
Improving Sampling for Masked Diffusion Models via Information Gain
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146117-146135
Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146136-146169
Accelerating Langevin Monte Carlo via Efficient Stochastic Runge-Kutta Methods beyond Log-Concavity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146170-146197
PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146198-146233
Leveraging Lineage Barcodes as Natural Augmentations for Contrastive Learning of Cell Fate in scRNA-seq Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146234-146266
cMoLLM at Scale: Horizontal Scaling Laws for Convolutionally-Gated Mixture-of-LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146267-146281
DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146282-146296
Logarithmic Switching Regret for Online Convex Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146297-146314
PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146315-146324
Fast Mixture of Curvature-Aware Experts for Diverse and Dynamic Graph Topologies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146325-146347
Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146348-146368
Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146369-146382
Inner-layer Token Self-modulation as Another Scaling Axis for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146383-146402
Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146403-146424
Simple yet Effective: Low-Rank Spatial Attention for Neural Operators
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146425-146444
RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146445-146462
Efficient Preference Poisoning Attack on Offline RLHF
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146463-146492
A Hypertoroidal Covering for Perfect Color Equivariance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146493-146511
Masked Multi-path Contrast with Confidence-Gated Semantic Imputation for Incomplete Multi-view Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146512-146528
Do Vision and Text Cues Exhibit Evidential Coupling? UFO: A Benchmark for Compositional Multimodal Reasoning in Unified Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146529-146553
Prompt Tuning for CLIP on the Pretrained Manifold
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146554-146578
Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146579-146608
Factored Causal Representation Learning for Robust Reward Modeling in RLHF
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146609-146638
Decentralized Online Convex Optimization with Efficient Communication: Improved Algorithm and Lower Bounds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146639-146679
SPEAR: A Unified SSL Framework for Learning Speech and Audio Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146680-146704
SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146705-146726
Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146727-146749
DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146750-146765
Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146766-146790
Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146791-146812
SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146813-146844
Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146845-146876
Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146877-146893
Accelerated Dual Method for Distributed Optimization: An Inexact-Gradient View of Local Updates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146894-146928
Brain Networks Should Be Learned, Not Constructed
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146929-146949
Speech-Audio Compositional Attacks on Multimodal LLMs and Their Defense with SALMONN-Guard
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146950-146964
MARS-SQL: A Multi-Agent Reinforcement Learning Framework For Text-To-SQL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146965-146995
SSDCN: Spatial-Spectral Dual-Clustering-based Network for Hyperspectral Image Super-resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:146996-147013
Less Is More: Fast and Accurate Reasoning with Cross-Head Unified Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147014-147031
Zero-source LLM Hallucination Detection with Human-like Criteria Probing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147032-147061
TMD-Bench: A Multi-Level Evaluation Paradigm for Music–Dance Co-Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147062-147084
RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147085-147107
Return-to-Go Is More Than a Number: Q-Guided Alignment for Return-Conditioned Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147108-147135
NBCG: Nash-Bargained Causal Game for Long-Tailed Multi-Label NLP
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147136-147152
Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147153-147201
Stable Velocity: A Variance Perspective on Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147202-147237
EpiTwin: Spatiotemporal Graph Transformers for Epileptic sEEG Signal Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147238-147260
ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147261-147284
Adaptive Multiscale Binary Expansion Tests for Independence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147285-147312
Multi-Objective Protein Design via Memory-Aware Test-Time Scaling in Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147313-147333
Profiling the Irrational Agent: Cognitive Modeling of LLM Behaviors in Sequential Jailbreaks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147334-147355
Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147356-147373
Shapley Regularized Neural Granger Causality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147374-147396
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147397-147417
Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147418-147436
ParamMem: Augmenting Language Agents with Parametric Reflective Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147437-147456
Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147457-147475
H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147476-147488
Any-dimensional invariant universality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147489-147513
Integrated Episodic and Semantic Memory via Modulating Transformer FeedForward Layers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147514-147524
HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147525-147547
Role-Level Inductive Bias for Cross-Task Generalization in Multi-Agent Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147548-147570
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147571-147589
The Perception–Physics Paradox: Probing Scientific Alignment with TC-Bench
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147590-147616
MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147617-147632
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147633-147652
Identifiable Nonlinear Differentiable Causal Discovery via Independence and Adaptive Group Sparsity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147653-147672
TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147673-147693
CAReDiO: Enhancing Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147694-147735
MM-DeepResearch: A Simple and Effective Multimodal Agentic Search Baseline
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147736-147756
PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147757-147787
A Linearly Convergent Proximal Subgradient Algorithm for Sparse Portfolio Optimization with Transaction Cost
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147788-147811
Towards a Unified Generative Model for Scarce Time Series with Domain Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147812-147832
SC$^2$-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147833-147850
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147851-147866
Reconstructing Template-Memorized Images from Natural Prompts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147867-147887
Complexity of Decentralized Optimization with Mixed Affine Constraints
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147888-147927
Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147928-147978
RoCA: Robust Cross-Domain End-to-End Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:147979-148000
Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148001-148036
RiskZero: Plan More to Risk Less with a Learned Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148037-148089
Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148090-148115
Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148116-148138
MODUS: Decoder-only Any-to-Any Modeling of Diverse Modalities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148139-148171
Prompt Injection as Role Confusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148172-148202
Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148203-148233
Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148234-148261
Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148262-148292
Transformers Provably Learn Algorithmic Solutions for Graph Connectivity, But Only with the Right Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148293-148324
Meta Context Engineering via Agentic Skill Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148325-148368
A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148369-148394
Group-wise Data Ordering: Enhancing Instruction Tuning of Large Language Models via Embedding Proximity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148395-148410
UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148411-148429
Resolving the Timestep Scaling Paradox in Spiking Neural Networks with a Timestep-Scalable Neuron Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148430-148449
FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148450-148485
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148486-148522
REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148523-148544
Distribution Matching Variational AutoEncoder
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148545-148559
Meta-iLaD: Identifiable Latent Dynamics via Meta-Learning of Dynamics Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148560-148582
Depth-Progressive Monotonic Learning without Global Backpropagation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148583-148610
Select to Think: Unlocking SLM Potential with Local Sufficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148611-148639
Locate then Correct: Debiasing Attention Heads in CLIP
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148640-148677
Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148678-148712
Securing Multimodal AI through Internal Information Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148713-148735
Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148736-148773
The Convergent Representation of Contrastive Vision-Language Models: Geometry, Modality Gap and Shared Space Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148774-148855
Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148856-148886
Social Hippocampus Memory Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148887-148900
Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148901-148921
Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148922-148934
Language as a Wave Phenomenon: Semantic Phase Locking and Interference in Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148935-148947
PanoWorld-X: Generating Explorable Panoramic Worlds via Sphere-Aware Video Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148948-148965
Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148966-148998
FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:148999-149016
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149017-149034
Task-Aware Mechanism: Hybrid MoE Vision Tower Towards Holistic Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149035-149058
MLLM-4D: Towards Visual-based Spatial-Temporal Intelligence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149059-149080
Overcoming the Incentive Collapse Paradox
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149081-149103
Evaluating Parameter Efficient Methods for RLVR
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149104-149119
Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149120-149190
Controlled Collaboration Geometry for Personalized Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149191-149223
Discriminative Visual Process Rewards for Scaling Thinking at Test-Time with Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149224-149239
DDP-WM: Disentangled Dynamics Prediction for Efficient World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149240-149258
GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149259-149284
Towards Uniformity and Alignment for Multimodal Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149285-149302
Temporal Difference Learning for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149303-149317
Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149318-149357
Doubly Outlier-Robust Online Infinite Hidden Markov Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149358-149411
Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149412-149429
SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149430-149463
KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149464-149479
Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149480-149495
PADS-TAL: Padding-Annealed Diffusion Sampling in Text-Aware Latent Space for Robust and Diverse Text-to-Music Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149496-149531
Infinite Mask Diffusion for Few-Step Distillation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149532-149558
Knothe-Rosenblatt Quantile Regression for Risk-sensitive Multi-objective Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149559-149582
Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149583-149607
Designing Observation and Action Models for Efficient Reinforcement Learning with LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149608-149641
Courtroom Analogy: New Perspective on Uncertainty-Aware Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149642-149676
SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149677-149695
VSCD: Video-based Scene Change Detection in Unaligned Scenes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149696-149713
Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149714-149737
Prototype Transformer: Towards Language Model Architectures Interpretable by Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149738-149777
SF-Mamba: Rethinking State Space Model for Vision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149778-149800
Spherical Steering: Geometry-Aware Activation Rotation for Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149801-149823
RaBiT: Residual Aware Binarization Training for Accurate and Efficient LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149824-149850
LLMInertia: Adaptive Counter-Inertial Reasoning to Improve Evidence Faithfulness in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149851-149869
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149870-149889
DDGA: Dirichlet Distributional Gradient Aggregation for Transferable Vision-Language Adversarial Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149890-149908
Latent Laplace Diffusion for Irregular Multivariate Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149909-149935
Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149936-149973
SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:149974-150011
Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150012-150045
Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150046-150091
CacheEdit: Efficient Multi-round Image Editing via Adaptive Token-wise Reuse.
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150092-150112
ClimateAR: Multi-Scale Autoregressive Generative Modeling for Climate Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150113-150140
NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150141-150164
On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150165-150202
PathwayLLM: Explainable Clinical Trajectory Modeling with Structured Pathways for Sepsis Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150203-150220
Deep Pre-Alignment for VLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150221-150234
SafeSeek: Universal Attribution of Safety Circuits in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150235-150254
Reliable Confidence Alignment for Generalized Category Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150255-150270
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150271-150302
Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150303-150337
CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150338-150363
Geometry-Preserving Unsupervised Alignment for Heterogeneous Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150364-150378
GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150379-150405
Scaling Laws of Global Weather Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150406-150426
Mirror Descent Under Generalized Smoothness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150427-150481
FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150482-150504
Hierarchical Successor Representation for Robust Transfer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150505-150525
Multi-Adapter Representation Interventions via Energy Calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150526-150544
From Prompts to Tokens: Internalizing Causal Supervision in Vision-Language Model for Multi-Image Causal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150545-150563
CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150564-150581
Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150582-150599
Autoregressive Image Generation with Masked Bit Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150600-150616
PATCHCODE: Discrete Latent Predictive Learning for EEG Foundation Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150617-150650
Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150651-150669
Evaluating AI Grading on Real-World Handwritten College Mathematics: A Large-Scale Study Toward a Benchmark
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150670-150695
Fine-to-Coarse Fairness-Informed Multi-View Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150696-150721
MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150722-150735
Geometric Flow Grounding: A Unified Manifold Decoupling Framework for Dynamics Discovery and Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150736-150762
Local Intrinsic Dimension of Representations Predicts Alignment and Generalization in AI Models and Human Brain
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150763-150792
SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150793-150816
SecCodePRM: A Process Reward Model for Code Security
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150817-150838
ParaTool: Shifting Tool Representations from Context to Parameters
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150839-150863
MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150864-150886
DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150887-150906
Improving LLM-Based Recommenders with Conservative Generative Flow Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150907-150921
Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150922-150966
Spectral-Informed Neural Networks Outperform Spectral methods in High-dimensional PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150967-150997
Understanding Generalization from Embedding Dimension and Distributional Convergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:150998-151022
AvAtar: Learning to Align via Active Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151023-151044
MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151045-151060
BiCrossNet with Decoupled Dual Generators: A Parameter-Efficient and Generalizable Few-Shot Custom Gesture Recognition Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151061-151069
CFPO: Counterfactual Policy Optimization for Multimodal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151070-151086
FIRE: Multi-Fidelity Regression with Distribution-Conditioned In-Context Learning Using Tabular Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151087-151130
Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151131-151160
AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151161-151186
Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151187-151220
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151221-151250
Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151251-151278
Structure-Aware Consistency Priors for Shape from Polarization in Complex Media
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151279-151292
TVDRNet: Text-driven Viewpoint Optimization via Differentiable Rendering for 3D Reasoning Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151293-151306
Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151307-151333
VecDesigner: Exploring Visual Guidance and Structural Consistency for Semantic Typography
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151334-151347
RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151348-151377
Dual Latent Memory for Visual Multi-agent System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151378-151399
Scientific logicality enriched methodology for LLM reasoning: A practice in physics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151400-151441
Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151442-151483
Efficient Bilevel Optimization for CKA-Guided MoE Upcycling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151484-151500
PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151501-151518
Beyond Detection: A Structure-Aware Framework for Scene Text Tracking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151519-151538
Training-Free Hashing-Based Attention via Binary Principal Components
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151539-151559
Anytime Safe PAC Efficient Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151560-151584
MEDUSA: Motion Elimination in Diffusion Using Spectral Attack
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151585-151601
Taming Aleatoric Impulse in Off-Policy Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151602-151625
PACEAttention: Principled and Adaptive Feature Compression-Expansion Grounded in the Geometry of $\textMCR^2$
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151626-151647
MINIM: Privacy-Aware Minimal View for Agents via Trusted Local Sanitization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151648-151664
PosterAgent: Agentic Poster Generation via Stage-Aware Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151665-151684
ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151685-151700
FormAct: Agentic Source Editing for Rich-Format Document Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151701-151718
Building Social World Models with Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151719-151736
MIND: Multi-rationale INtegrated Discriminative Reasoning Framework for Multi-modal Large Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151737-151756
Uncovering Hidden Triggers: Backdoor Attribution in Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151757-151775
Causal Fine-Tuning under Latent Confounded Shift
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151776-151797
Conditional Quantile Adjusted Conformal Prediction for Time Series
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151798-151817
Sparse Regression with $\ell_0$ Constraints for $α$-Mixing Time Series: Algorithms and Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151818-151848
SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151849-151872
Towards Multimodal Large Language Models with Both Training and Inference Efficiency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151873-151889
PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151890-151937
Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151938-151954
MME-Reasoning: A Broad-Spectrum Benchmark for Evaluating Logical Reasoning in MLLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:151955-152017
Global Directional Priors with Local Statistical Validation for Scalable Causal Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152018-152037
Generative Modeling of Irregular Time Series via SDE-Induced Continuous-Discrete Variational Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152038-152068
ReAugment: Targeted Few-Shot Time Series Augmentation via Model Zoo-Guided Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152069-152084
Markov Chain Monte Carlo without Evaluating the Target: an Auxiliary Variable Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152085-152119
NAACA: Training-Free NeuroAuditory Attentive Cognitive Architecture with Oscillatory Working Memory for Salience-Driven Attention Gating
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152120-152150
SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152151-152167
Decentralized and Disentangled Task–Role Representation Learning for Generalizable Offline Multi-Agent Meta Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152168-152197
Detached Skip-Links and $R$-Probe: Decoupling Feature Aggregation from Gradient Propagation for MLLM OCR
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152198-152218
PACE: Parameter Change for Unsupervised Environment Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152219-152240
Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152241-152268
Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152269-152282
Mem-T: Densifying Rewards for Long-Horizon Memory Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152283-152308
Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152309-152327
AutoRAS: Learning Robust Agentic Systems with Primitive Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152328-152358
Reasoning Models Struggle to Control their Chains of Thought
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152359-152387
Sharper Generalization Guarantees for Asynchronous SGD: Beyond Lipschitzness, Smoothness and Data Homogeneity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152388-152431
Learning to Discover at Test Time
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152432-152496
Incremental Learning of Sparse Attention Patterns in Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152497-152532
Same Question, Different Lies: Cross-Context Consistency (C$^3$) for Black-Box Sandbagging Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152533-152571
Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152572-152590
Active Attacks: Red-teaming LLMs via Adaptive Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152591-152613
The Safety-Aware Denoiser for Text Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152614-152644
Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152645-152672
End-to-End Compression for Tabular Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152673-152694
Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152695-152715
Shifting the Breaking Point of Flow Matching for Multi-Instance Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152716-152740
FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152741-152765
Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152766-152784
Differentially Private Submodular Maximization with a Knapsack Constraint
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152785-152811
Geometry-Aware Tabular Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152812-152835
When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152836-152919
REViT: Roto-reflection Equivariant Convolutional Vision Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152920-152936
Self-Supervised Learning as Discrete Communication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152937-152956
Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152957-152974
The Loss Is Not Enough: Sampling Conditions and Inductive Bias in Contrastive Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:152975-153000
HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153001-153020
Reward Auditor: Inference on Reward Modeling Suitability in Real-World Perturbed Scenarios
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153021-153063
HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153064-153082
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153083-153122
Interpretable Self-Supervised Learning via Representer Landmarks and Nyström Approximation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153123-153147
SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153148-153162
MentisOculi: Revealing the Limits of Reasoning with Mental Imagery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153163-153201
Rethinking Neural Network Learning Rates: A Stackelberg Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153202-153230
POLIA: Policy Optimization with Visual-Object-Level Intrinsic Advantage for Multimodal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153231-153248
Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153249-153264
daVinci-Dev: Agent-native Mid-training for Software Engineering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153265-153282
Bootstrapped Exploration with Causal Reasoning: A Training Paradigm for Adaptive Forecasting Agent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153283-153310
Beyond Euclidean Summaries: Online Change Point Detection for Distribution-Valued Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153311-153346
LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153347-153363
Attention with Routed-Memory for Learnable Sparse Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153364-153385
UCPO: Uncertainty-Aware Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153386-153405
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153406-153428
Convex Dataset Valuation for Post-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153429-153458
PonderLM-2: Pretraining LLM with Latent Thoughts in Continuous Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153459-153482
Large Language Models Explore by Latent Distilling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153483-153507
TaskLoom: Weaving Knowledge Across Tasks in World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153508-153531
Normality Calibration in Semi-supervised Graph Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153532-153552
MTNL: A Unified Modeling Perspective for Enhancing Tensor Network Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153553-153587
EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153588-153613
CoEvol-NO: State and Coordinate Co-Evolution with an Error-Driven Predictor-Corrector Paradigm for Neural Operator Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153614-153640
Hi-Time: Hierarchical Latent Prediction for Multivariate Time Series Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153641-153651
ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153652-153673
HiCI: Hierarchical Construction–Integration for Long-Context Attention
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153674-153693
On Testing Conditional Mean Independence for Manifold-Valued Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153694-153710
Fix Before Search: Benchmarking Agentic Visual Query Pre-processing in Multimodal Retrieval-augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153711-153743
ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153744-153786
Video-o3: Native Interleaved Clue Seeking for Long Video Multi-Hop Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153787-153813
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153814-153844
Discrete Diffusion with Physical Mass Constraints for De Novo Peptide Sequencing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153845-153861
Physiology as Language: Translating Respiration to EEG during Sleep
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153862-153878
Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153879-153897
CORE: Context-Robust Remasking for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153898-153916
Distilling Task-Level Coordination Policies for Generalizable Multi-Agent Cooperation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153917-153936
SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153937-153956
3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153957-153980
Simple Policy Gradients for Reasoning with Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:153981-153999
Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154000-154024
Harmonized Dual Policy Improvement for Modelic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154025-154043
Guidance: Sentence-Level Citation Enforcement via Prefix-Tail Guidance during LLM Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154044-154063
Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154064-154100
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154101-154124
SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154125-154169
Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154170-154189
Local MAP Sampling for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154190-154213
Failure-Driven Workflow Refinement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154214-154240
Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154241-154262
RiboSphere: Learning Unified and Efficient Representations of RNA Structures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154263-154278
Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154279-154350
FUSE: Quantifying Uncertainty in Vision-Language Models by Bayesian Fusing Epistemic and Aleatoric Uncertainty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154351-154377
Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154378-154416
Forgetting Whenever You Want: A Decentralized Continual Learning Framework with On-Demand Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154417-154442
Agent Learning via Early Experience
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154443-154475
Internalizing Safety Understanding in Large Reasoning Models via Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154476-154496
ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154497-154518
L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154519-154541
Contrastive Symbolic Regression: Aligned Representations, Adaptive Prediction, and Diverse Ensembles
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154542-154567
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154568-154598
MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154599-154616
REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154617-154639
The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154640-154665
DLM: Unified Decision Language Model for Offline Multi-Agent Sequential Decision Making
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154666-154687
Rethinking Parameter Sharing as Graph Coloring for Structured Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154688-154700
PSBench: Editing Image via GUI Agents in Photoshop
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154701-154738
LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154739-154760
Motion-Residual Conflict-Aware Time Reversal for Generative Inbetweening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154761-154783
Semantic-Aware Motion Encoding for Topology-Agnostic Character Animation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154784-154804
Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154805-154827
Comp-Attn: Present-and-Align Attention for Compositional Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154828-154845
Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154846-154885
The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154886-154944
Benign Overfitting in Adversarial Training for Vision Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:154945-155025
Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155026-155042
UniMapping: Unified SLAM Framework for Map-Centric Embodied Perception
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155043-155061
CoMem: Context Management with A Decoupled Long-Context Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155062-155077
Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155078-155100
HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155101-155130
LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155131-155151
WF-Bench: A Benchmark for Neural-Network WaveFunction Expressivity and Scaling Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155152-155167
One Tool Is Enough: Reinforcement Learning of LLM Agents for Repository-Level Code Navigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155168-155194
Spatiotemporal Imputation with Graph-Informed Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155195-155211
SOLAR for Offline MARL: Plateau-Triggered Potential Shaping under World-Model Uncertainty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155212-155233
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155234-155257
CoDA-Bench: Can Code Agents Handle Data-Intensive Tasks?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155258-155294
Breaking the Synthetic-Real Domain Shortcut for Training-Free Generative Replay-based Class Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155295-155325
What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155326-155347
Self-evolving LLM agents with in-distribution Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155348-155365
Geometric Coherence Learning for Structuring Value Functions in Plain MDPs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155366-155425
AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155426-155449
Boosting Monocular Metric Depth Estimation via Bokeh Rendering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155450-155481
Higher-Order Certified Robustness for Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155482-155531
From Noise to Control: Parameterized Diffusion Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155532-155559
Generalization Bounds for Discrete Diffusion: Statistical Advantage of Masking
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155560-155587
FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155588-155605
Gradient-Aware Scheduling: Coupling Curriculum and Staleness for Async Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155606-155624
Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155625-155649
What Makes Synthetic Data Effective in Image Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155650-155664
FusionCell: Cross-Attentive Fusion of Layout Geometry and Netlist Topology for Standard-Cell Performance Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155665-155675
Efficient Distributionally Robust Assortment Optimization in MNL Bandits
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155676-155704
The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155705-155725
FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155726-155743
Learning More from Less: Unlocking Internal Representations for Benchmark Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155744-155784
UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155785-155803
Klein Hyperbolic Metric Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155804-155818
Bridging Your Imagination with Audio-Video Generation via a Unified Director
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155819-155856
GenUnfold: Rapidly Predict Protein Mechanical Unfolding Trajectory via a Physics-Guided Diffusion Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155857-155873
Stable Spectral Copula Alignment for Robust Multimodal Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155874-155909
UniFast-HGR: Scalable and Efficient Maximal Correlation for Multimodal Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155910-155935
3D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155936-155970
T-measure: A Topology-Consistent Metric for Binary Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155971-155984
E$^2$I-VRWKV: Explicit EPI-Representation and Interaction-Aware Vision-RWKV for Light Field Semantic Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:155985-156000
How RL Unlocks the Aha Moment in Geometric Interleaved Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156001-156024
SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156025-156042
MA$^3$S: Model-Agnostic Active Annotation Strategy for Crowdsourcing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156043-156055
Reinforcement-aware Knowledge Distillation for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156056-156069
Learning Adaptive Topology with FiLM-Guided Distillation for Tertiary Structure-Based RNA Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156070-156083
Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156084-156114
scChord: A Probabilistic Manifold Rectification Framework for RNA-to-Protein Translation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156115-156137
Bringing Code ALIVE: Optimizing Interactive Frontend Mini-Games via Automated Play and Reinforcement Learning at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156138-156193
SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156194-156210
FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156211-156233
AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156234-156262
Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156263-156281
From Teacher Pathways to Invariant Manifolds: Consensus Subspace Distillation for TSFMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156282-156291
Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156292-156308
Uncertainty-Constrained Trustworthiness for Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156309-156339
PatternKV: Flattening KV Representation Expands Quantization Headroom
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156340-156363
Demystifying the Optimal Fair Classifier in Multi-Class Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156364-156405
Is Task-Specific Training Necessary for Anomaly Detection?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156406-156436
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Deliberation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156437-156508
D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156509-156525
AdaMEM: Test-Time Adaptive Memory for Language Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156526-156543
DualTimesField: Rethinking Time Series as Continuous-Time Trends and Events
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156544-156566
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156567-156614
You Don’t Protect if You Don’t Expect: Breaking the Key Assumption behind CLIP’s Test-Time Defenses
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156615-156627
Characterizing, Evaluating, and Optimizing Complex Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156628-156695
The Latent Guardian: Defending Collaborative Perception via Feature-Level Consistency Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156696-156712
Quantifying and Optimizing Simplicity via Polynomial Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156713-156737
In-Context Learning as Rate–Distortion Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156738-156762
Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156763-156783
Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156784-156807
Trajectory-Stabilized Inference for Diffusion-Based Video Inpainting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156808-156824
CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156825-156850
Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156851-156873
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156874-156894
MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156895-156918
VELR: Efficient Video Reward Feedback via Ensemble Latent Reward Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156919-156939
Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156940-156955
Rethinking Human Intent-to-CAD: Parametric CAD Model Generation via Cooperative Multi-Task Alignment and Spatial-Aware Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156956-156970
Structure-Aware Riemannian Flow Matching for Registration and Fusion of Hyperspectral and Multispectral Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156971-156994
CLIMB: Taming the LoRA Residency Cliff in Multi-LoRA Serving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:156995-157025
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157026-157063
Adversarial Reinforcement Learning for Robust Diffusion Large Language Model Unlearning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157064-157079
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157080-157095
UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157096-157105
On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157106-157129
InfVSR: Toward Consistency-Driven Streaming Generative Video Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157130-157147
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157148-157179
Contrastive Flow Map Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157180-157201
Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157202-157242
Adaptive Visual Autoregressive Acceleration via Dual-Linkage Entropy Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157243-157265
Multimodal Meta-Verifier with Explicit Structured Recalibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157266-157281
SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157282-157294
From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157295-157309
Stage-wise Distortion–Perception Traversal in Zero-shot Inverse Problems with Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157310-157347
GameVerse: Can Vision-Language Models Learn from Video-based Reflection?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157348-157420
In-Context Generation with Regional Constraints for Instructional Video Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157421-157446
MindZero: Learning Online Mental Reasoning With Zero Annotations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157447-157467
Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157468-157507
MPFM: Cross Multi-Domain Prototype Flow Matching for Log Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157508-157523
Controlled Dynamics Attractor Transformer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157524-157543
Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157544-157572
DiLA: Disentangled Latent Action World Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157573-157592
Evaluating and Steering Modality Preferences in Multi-modal LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157593-157623
Localize and Neutralize: Gradient-Guided Token Suppression Against Visual Prompt Injection Attack
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157624-157645
DOCKSMITH: Scaling Reliable Coding Environments via an Agentic Docker Builder
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157646-157665
TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157666-157684
Decision Transformers As Zero-Shot Learners via Text-Behavior Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157685-157699
Provably Convergent Actor-Critic for MARL through Risk-aversion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157700-157762
LiveNewsBench: Evaluating Web Search Agents with Freshly Curated News
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157763-157786
Correcting in Hindsight: Editing Past Key-Value States for Robust LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157787-157799
Seizure-Semiology-Suite($S^3$): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157800-157840
CausalX: A Unified and Causally-Interpretable Plug-and-Play Model for Multi-modal Spatio-Temporal Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157841-157860
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157861-157894
Threshold-Based Exclusive Batching for LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157895-157931
Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157932-157946
Attn-QAT: 4-Bit Attention With Quantization-Aware Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157947-157965
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:157966-158006
UrbanMLLM: Joint Learning of Cross-view Imagery for Urban Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158007-158027
CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158028-158044
Predictive Prefetching for Retrieval-Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158045-158079
Geometric Collapse: When Vision Models Fail to Verify Physical Causality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158080-158098
Towards Sub-Second Molecular Docking as a Structural Primitive: A Quantized Consistency Diffusion Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158099-158128
CofactGVR: Counterfactual Intervention for Grounded Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158129-158151
Supervise Less, See More: Training-free Nuclear Instance Segmentation with Prototype-Guided Prompting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158152-158190
Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158191-158214
MemEvolve: Meta-Evolution of Agent Memory Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158215-158234
Semantic Editing with Coupled Stochastic Differential Equations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158235-158265
GLEAN: Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158266-158287
SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158288-158297
On the Convergence of Decentralized Stochastic Minimax Optimization Algorithm with Compressed Communication
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158298-158362
LS$^2$MC-GDA: A Smoothed Algorithm for Federated Stochastic Multi-Level Compositional Minimax Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158363-158407
STLA: Spatiotemporal Lookahead Alignment for Post-Training Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158408-158427
Hard-Constrained Graph Generation with Discrete-Projection Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158428-158456
Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158457-158476
FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158477-158494
Functional building blocks of neural networks: from network motifs to collective dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158495-158518
Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158519-158567
Look on Demand: A Cognitive Scheduling Framework for Visual Evidence Acquisition in Multimodal Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158568-158583
S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158584-158596
FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158597-158613
HodgeFlow Policy Search by Topologically Dissecting Temporal-Difference Signals in Non-Markovian Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158614-158653
Scaling Laws for Precision in High-Dimensional Linear Regression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158654-158750
TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158751-158773
Dimensionality Reduction with Point-Distribution Similarity Invariant
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158774-158794
Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158795-158815
Generative Online Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158816-158837
HECTOR: Hybrid Editable Compositional Object References for Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158838-158851
Beyond Fixed Biases: Decoding the Role of Reasoning Uncertainty in MLLM Modality Conflicts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158852-158883
Variational Learning for Insertion-based Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158884-158901
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158902-158916
SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158917-158942
LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158943-158959
REAR: Test-time Preference Realignment through Reward Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158960-158981
Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158982-158994
Proximal-Based Generative Modeling for Bayesian Inverse Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:158995-159054
FreeText: Training-Free Text Rendering via Attention Localization and Spectral Glyph Injection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159055-159070
Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159071-159096
InfoGeo: Information-Theoretic Object-Centric Learning for Cross-View Generalizable UAV Geo-Localization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159097-159121
Cross-Tactile Sensor Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159122-159137
Langevin Rollout Optimization for Modelic Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159138-159159
Learning to Memorize with Attributive and Associative Memory for Online Test-Time Adaptation of Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159160-159177
Code2Worlds: Empowering Coding LLMs for 4D World Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159178-159205
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159206-159233
When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159234-159276
GeoMoLa: Geometry-Aware Motion Latents for Learning Robust Manipulation Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159277-159295
Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159296-159310
Hyperparameter Transfer Laws for Non-Recurrent Multi-Path Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159311-159335
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159336-159349
Reference-Free Meta-Learning for Generalized Implicit Neural Representation in Efficient MRI Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159350-159369
Utonia: Toward One Encoder for All Point Clouds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159370-159384
dTRPO : Trajectory Reduction in Policy Optimization of Diffusion Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159385-159411
See First, Reason Later: Mutual Information-Guided Reinforcement Learning for Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159412-159429
MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159430-159453
AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159454-159470
Who Transfers Safety? Identifying and Targeting Cross-Lingual Shared Safety Neurons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159471-159487
Agentic Confidence Calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159488-159525
Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159526-159549
Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159550-159565
Benchmarking and Enhancing VLM for Compressed Image Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159566-159593
SafeCompass: Dynamic Chain-of-Thought Steering via Inference-Time Safety Signals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159594-159616
Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159617-159640
Target-Agnostic Calibration under Distribution Shift with Frequency-Aware Gradient Rectification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159641-159665
AOEB: Benchmarking Agent-Oriented Multimodal Embeddings
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159666-159688
4DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159689-159710
Backjump-on-Graph: Empowering Large Language Models with Reinforced Retrospective Exploration for Agentic Knowledge Graph Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159711-159734
ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159735-159760
SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159761-159784
BTSP-CAM: A Brain-Inspired Geometric Memory for Class-Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159785-159802
Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159803-159816
Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159817-159828
Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159829-159858
Global Policy-Space Response Oracles for Two-Player Zero-Sum Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159859-159886
A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159887-159915
GenAlign: Towards Unified Alignment Framework of MLLMs via Generative Reward Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159916-159937
AReaL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159938-159953
Cross-Modal Semantic Decoupling and Transfer for Text-to-Visible-Infrared Person Re-Identification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159954-159967
Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159968-159991
$V_0$: A Generalist Value Model for Any Policy at State Zero
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:159992-160014
Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160015-160038
The Fairness Hierarchy: A viewpoint from causal inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160039-160054
Sketch-Based Low-Rank Model Merging with Shared Circulant Transforms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160055-160072
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160073-160152
LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160153-160168
MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160169-160206
Reasoning-VLA: An Efficient and Spatial-Guided General Vision-Language-Action Reasoning Model for Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160207-160226
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160227-160264
Posterior Mismatch Matters: Adversarial Training for Long-Tailed Robustness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160265-160280
Personalized Policy Learning through Discrete Experimentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160281-160300
A Generalist Pair-wise Progress Critic Model for Vision-Language-Action Robots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160301-160316
MAGIC: Multi-Granularity Language-Informed Image Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160317-160329
Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160330-160351
PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160352-160415
Distributed Stochastic $K$-Level Optimization Over Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160416-160472
STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160473-160491
SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160492-160508
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160509-160523
Beyond Single Embedding: Modeling User Preferences as Distribution in Federated Recommendation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160524-160539
Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160540-160558
Joint Navigation and Manipulation Planning with 3D Interaction Chains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160559-160574
Advancing LLM Reasoning with Natural Language and Numerical Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160575-160632
Optimal Transport with Symmetry Groups
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160633-160650
Convergence Analysis of Decentralized Hessian-/Jacobian-Free Algorithm for Nonconvex Stochastic Bilevel Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160651-160694
Dynamic Multimodal Evaluation via Knowledge-Enhanced Benchmark Evolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160695-160715
CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware Virtualization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160716-160730
Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160731-160755
Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160756-160772
NITP: Next Implicit Token Prediction for LLM Pre-training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160773-160793
XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160794-160814
Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160815-160834
GPan-LoRA: Gaussian Process Amortized Networks for Bayesian Low-Rank Adaptation in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160835-160856
When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160857-160869
Controlled SDEs for Long-Horizon Motion Generation under Latent Decision Uncertainty
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160870-160890
Subspace-Aware Feature Reshaping for Open-Set Graph Class-Incremental Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160891-160911
iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160912-160929
Grounding LLMs in Scientific Discovery via Embodied Actions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160930-160953
FedGain: Toward Negative-Gain-Free Client Collaboration in Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160954-160974
The Stability of Singular Distribution: A Spectral Perspective on the Two-Phase Dynamics of Language Model Pre-training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:160975-161001
RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161002-161018
Transform Trained Transformer for Accelerating Native 4K Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161019-161034
Cycle-of-Science: Reliable Reasoning through Counterfactual Verification for Agent Decision Making
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161035-161053
Unveiling And Addressing Dimensional Collapse In Vector Quantization Models Via Codebook Regularization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161054-161066
Geometry-Preserving Orthonormal Initialization for Low-Rank Adaptation in RLVR
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161067-161090
GRAPE: Let GRPO Supervise Query Rewriting by Ranking for Retrieval
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161091-161105
Learnability-Driven Knowledge Assimilation for Class-Incremental Semantic Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161106-161135
Think in Latent, Explain in Language: Self-Explainable Latent Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161136-161155
Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161156-161192
Learning GUI Grounding with Spatial Reasoning from Visual Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161193-161218
LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161219-161240
LitReview Arena: Evaluating Literature Review Agents with Battle-style Peer Review Platform
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161241-161260
WinDeskGround: A Benchmark for Robust GUI Grounding in Complex Multi-Window Desktop Environments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161261-161271
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161272-161290
Syntax vs. Semantics: How Transformers Learn Deep Dependencies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161291-161314
Nonparametric Data Attribution for Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161315-161336
Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161337-161372
What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161373-161394
CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161395-161417
GHOST: Geometry-Guided Hallucination of Opaque Surface Textures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161418-161430
MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161431-161457
When Is Rank-1 Enough? Geometry-Guided Initialization for Parameter-Efficient Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161458-161475
From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161476-161491
DiP-G: Discrete Prompting for Graph Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161492-161506
Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161507-161522
Rh-3DGS: Robust Open-Vocabulary Scene Understanding via Riemannian Huber Distillation and Manifold-Aware Sampling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161523-161549
Learning Sparse Visual Representations via Spatial-Semantic Factorization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161550-161566
RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161567-161591
CAffNet: Hard Constraint-Affine Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161592-161607
Rethinking Low-Confidence Pseudo Labels: Influence-Aware Semi-Supervised Fine-Tuning for Hyperspectral Change Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161608-161622
Towards Hierarchy–Uniformity Equilibrium: Recovering Semantic Depth in Hypergraph Contrastive Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161623-161649
Just Noticeable Difference Modeling for Deep Visual Features
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161650-161669
Strategy-Aware Optimization Modeling with Reasoning LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161670-161694
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161695-161716
PyVision-RL: Forging Open Agentic Vision Models via RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161717-161743
Benchmarking the Scientific Mind: A Pathology-Derived Biomedical VQA Benchmark for Complex Scientific Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161744-161794
Transforming Weather Data from Pixel to Latent Space
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161795-161817
TexEditor: Structure-Preserving Text-Driven Texture Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161818-161838
Navigating the Energy Landscape of Collaboration: Multi-Agent Communication Graph Generation via Score-Based Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161839-161853
Posterior Concentration of Bayesian Physics-Informed Neural Networks for Elliptic PDEs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161854-161883
A Fully First-Order Layer for Differentiable Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161884-161908
SPAR: Support-Preserving Action Rectification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161909-161929
Structured Expert Routing with Multi-View Task Priors for Offline Meta-Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161930-161944
MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161945-161979
Random Scaling of Emergent Capabilities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:161980-161999
On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162000-162053
Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162054-162074
Exploring 3D Dataset Pruning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162075-162092
ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162093-162113
CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162114-162150
Regret Pre-training: Bridging Prior and Posterior Views for Enhanced Knowledge Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162151-162160
You Don’t Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162161-162182
SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162183-162202
A Unified Framework for Deep Hypergraph Clustering Beyond Homophily
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162203-162216
Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162217-162242
Large Language Model Agents Are Not Always Faithful Self-Evolvers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162243-162268
Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162269-162292
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Fine-Grained Expert Merging and Bit-packed Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162293-162315
Contractive Anchor Resolvent Diffusion for Incomplete Multi-View Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162316-162342
Anti-Backdoor Coreset Selection via Cumulative Entropy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162343-162364
Scaling Prompt Synthesis for Large Language Model Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162365-162384
Attend to Anything: Foundation Model for Unified Human Attention Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162385-162413
Weaving in the Clouds: Achieving Synergistic Collaboration among LLM Agents via Federated Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162414-162432
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162433-162448
Broadening the Backdoor Basin: Understanding LLM Backdoors Collapse and Making Backdoors Persistent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162449-162468
DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162469-162491
AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162492-162516
TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162517-162554
Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162555-162578
Hierarchical Abstract Tree for Cross-Document Retrieval Augmented Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162579-162609
Smoothing Slot Attention Iterations and Recurrences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162610-162620
AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162621-162652
ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162653-162671
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162672-162693
SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162694-162721
Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162722-162739
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162740-162780
AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162781-162809
Class-Conditional Distribution Balancing for Group Robust Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162810-162829
Learning Tight Rejection Boundaries without Negatives for Strict One-Class Audio Deepfake Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162830-162849
Non-Parametric Structural Priors for Geometry Theorem Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162850-162864
LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162865-162881
Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162882-162912
TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162913-162927
Don’t Force the Fit: Bounded Log-Likelihood Loss for Enhanced Reasoning in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162928-162950
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162951-162970
Beyond Unidirectional Bias: Reciprocal Perspective Calibration in Scene Graph Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162971-162992
$σ$: Sigmoid Modulation for Ultra High Resolution Diffusion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:162993-163008
Dual Quaternion SE(3) Synchronization with Recovery Guarantees
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163009-163039
ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163040-163058
From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163059-163085
(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163086-163115
From Generalist to Specialist Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163116-163137
Scalable RF Simulation in Generative 4D Worlds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163138-163163
Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163164-163178
Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163179-163238
Proxy Compression for Language Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163239-163271
Image Restoration via Diffusion Models with Dynamic Resolution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163272-163294
Doppler Prompting for Stable mmWave-based Human Pose Estimation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163295-163312
Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163313-163339
UniCode: Augmenting Evaluation for Code Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163340-163373
WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163374-163400
LEAP: Zone-Aware MCTS for LLM Self-Speculative Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163401-163419
Foresee-to-Ground: From Predictive Temporal Perception to Evidence-Driven Reasoning for Video Temporal Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163420-163438
HilbertA: Hilbert-Curve–Aligned Sparse Attention for 2D Structured Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163439-163462
Overcoming the Modality Gap in Context-Aided Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163463-163503
Mosaic: Unlocking Over 30$\times$ Context Length for Diffusion LLMs Inference via Global Memory Planning and Dynamic Peak Taming
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163504-163516
Solving Imperfect-Recall Games via Sum-of-Squares Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163517-163546
SPADA: A Verifiable Test-Driven Agent for Controllable Parametric CAD Assembly Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163547-163572
OSM+: Billion-Level Open Street Map Dataset for City-wide Experiments
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163573-163593
Spatio-Temporal LLM: Reasoning about Environments and Actions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163594-163626
Unsupervised Process-Aware Coreset Selection for In-Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163627-163647
NeuroCLUS: A Foundation Model with Functional Clustering for Intracranial Neural Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163648-163666
LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163667-163713
Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163714-163738
Neural QAOA$^2$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163739-163766
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163767-163783
CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163784-163802
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163803-163829
RGGT: A Generative-Prior-Guided Transformer for Unified Rigid and Non-Rigid Point Cloud Registration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163830-163849
Plasticity Activation via Polar Operator: A Plug-in Method for Balancing Stability and Plasticity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163850-163877
Temporal-Aware Reasoning Optimization for Video Temporal Grounding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163878-163893
Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163894-163918
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163919-163943
Theoretical Investigation on Inductive Bias of Isolation Forest
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163944-163972
Context-Aware Reasoner: Enhancing Contextual Reasoning in Multimodal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163973-163995
DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:163996-164028
Topology-Preserving Neural Operator Learning via Hodge Decomposition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164029-164060
From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164061-164084
SubspacePath Pruner: Inference-time Pruning via Probe-based Representation–Parameter Coupling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164085-164144
XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164145-164185
Learning 3D-Gaussian Simulators from RGB Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164186-164214
PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-Scale Physics Simulations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164215-164234
3D MeanFlow: One-Step Point Cloud Completion and Generation via Average-Velocity Transport
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164235-164263
Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164264-164295
LightAVSeg: Lightweight Audio-Visual Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164296-164311
Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164312-164331
RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164332-164359
From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164360-164378
RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164379-164396
From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164397-164419
DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164420-164438
Reparameterization Flow Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164439-164454
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164455-164477
FlowNar: Scalable Streaming Narration for Long-Form Videos
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164478-164501
AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164502-164544
TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164545-164562
Riemannian MeanFlow for One-Step Generation on Manifolds
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164563-164587
Stabilizing Reinforcement Learning for Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164588-164615
Reparameterization Proximal Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164616-164635
Graph-Link: Bridging the Semantic-Structural Gap in Text-to-SQL via Constrained Subgraph Induction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164636-164656
SWE-IF: Aligning Code Evaluation with Human Preference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164657-164692
Harnessing Non-Adversarial Robustness in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164693-164715
Black-Box Assisted Regression: Phase Transitions and Minimax Optimality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164716-164738
ImpQuant: Fine-Grained Importance-Aware Quantization for Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164739-164751
AdaS: Adaptive Gradient Descent for Spiking Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164752-164772
Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164773-164786
TOM-SWE: User Mental Modeling For Software Engineering Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164787-164806
SpikeCLR: Self-Supervised Contrastive Learning for Visual Representations with Spiking Neural Networks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164807-164827
PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164828-164848
LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164849-164866
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164867-164896
KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164897-164910
OPTION: Optimal Transport–Guided Flow Matching for Incomplete and Unaligned Multi-View Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164911-164939
QPoint: End-to-End Lightweight Point Cloud Processing via Robust Quaternion Feature Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164940-164955
SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164956-164977
Deep Neural Network Regression with Functional Covariates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164978-164998
Alignment Risks from Capability-Seeking RL Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:164999-165031
Preference-Enhanced Reinforcement Learning for Pluralistic Image Inpainting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165032-165048
SpecPL: Disentangling Spectral Granularity for Prompt Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165049-165068
Towards Completeness in Causal Discovery from Soft Interventions with Known Targets
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165069-165094
AVGen-Bench: A Task-Driven Benchmark for Multi-Granular Evaluation of Text-to-Audio-Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165095-165114
Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165115-165153
Is Spurious Correlation Removal Always Learnable?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165154-165175
EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165176-165196
Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165197-165221
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for Open-Ended LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165222-165251
DisPPO: Quantile-Based Distributional Reinforcement Learning for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165252-165286
Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165287-165319
Positional Encoding for Spiking Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165320-165338
$\mathcalO(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant Function
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165339-165377
GeoAlign: Geometric Rollout Curation for Robust LLM Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165378-165399
Meerkat-VL: Implicit Risk Safety Alignment in Multimodal LLMs via Perceptual Reasoning and Self-Verification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165400-165449
InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165450-165471
OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165472-165491
The Easy, the Hard, and the Learnable: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165492-165523
A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165524-165567
SMD: Multi-view Safety-Critical Driving Video Generation in the Real-world Domain
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165568-165590
DREAM: A Unified Framework for Drift-Corrected Federated Multi-Objective Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165591-165636
WatchLog: Efficient and Interpretable Event Reasoning for Endpoint Detection and Response Logs with Multimodal LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165637-165658
Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165659-165702
HTAC: Hierarchical Task-Aware Composition for Continual Offline Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165703-165722
FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165723-165752
Trajectory Seriation via Spectral Tangent Alignment and Global Embedding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165753-165787
Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165788-165830
Segment Anything with Robust Uncertainty-Accuracy Correlation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165831-165860
IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165861-165888
How Transformers Represent Hierarchies: A Local-to-Global Mechanism
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165889-165934
Neural Vector Lyapunov–Razumikhin Certificates for Delayed Interconnected Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165935-165956
Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165957-165977
Uni-DocRobust: Universal Plug-and-Play Robustness Enhancement for Multi-modal LLMs via Feature Restoration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165978-165990
SmoothSpike: Spiking Transformer with Learnable Hadamard Transformation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:165991-166008
Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166009-166030
Dismantling the Illusion of Vision-Language-Action Models Competence via Explicit Distributional Shifts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166031-166055
SFedPO: Streaming Federated Learning with a Prediction Oracle under Temporal Shifts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166056-166096
Winformer: Transcending Pairwise Similarity for Time-series Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166097-166122
Ripple Perturbations Through Structure: Likelihood-Constrained Adversarial Attacks on Heterogeneous Tabular Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166123-166142
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166143-166171
On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166172-166195
Disentangling Consensus and Value-Specific Representations for Controllable Pluralistic Value Alignment in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166196-166220
URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166221-166252
Bayes-inspired Integration of Pretrained Priors and Few-Shot Evidence for Few-Shot Classification
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166253-166269
DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and Its Loss’ Convexity is Dispensable)
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166270-166293
Statistically Calibrated Scaling for Token Merging in Transformers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166294-166311
HGMem: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166312-166333
BAS: Bridging Adam and SignSGD for Memory-Efficient LLM Training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166334-166362
AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166363-166379
Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166380-166400
Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166401-166432
Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166433-166473
How Language Models Process Negation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166474-166494
Mitigating the Modality Gap in Vision–Language Models with Fractal Spectral Geometry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166495-166531
Tailoring the Training: Difficulty-Aware Learning Strategy Allocation for Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166532-166558
ForensicConcept: Transferable Forensic Concepts for AIGI Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166559-166582
Structured Multi-step Jailbreaking under a Hamiltonian Generative Formulation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166583-166639
Calibrating Decision Robustness via Inverse Conformal Risk Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166640-166661
Modeling Attributional Style at Scale: A Dataset and Analysis for Psychological Attribution Assessment and Reframing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166662-166687
EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166688-166719
Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166720-166739
Graph-GRPO: Training Graph Flow Models with Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166740-166759
G$^2$TAM: Geometry Grounded Track Anything Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166760-166777
Pull Requests as a Training Signal for Repo-Level Code Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166778-166801
When Do Graph Foundation Models Transfer? A Data-Centric Theory
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166802-166822
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166823-166843
Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166844-166869
From Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166870-166887
Simple Denoising Diffusion Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166888-166905
Learning Transferable Interaction Primitives from Game Videos for Humanoid Locomotion
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166906-166923
Prior Diffusiveness and Regret in the Linear-Gaussian Bandit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166924-166938
Alethia: a Foundational Encoder for Voice Deepfakes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166939-166961
RelaxFlow: Text-Driven Amodal 3D Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166962-166989
Learning-augmented Rent-or-Buy with a Sample
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:166990-167020
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167021-167046
EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167047-167063
FlatLab: A Unified Methodology Framework and Simulation-Based Benchmark for Robotic Manipulation of Flat Objects
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167064-167086
A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167087-167102
Making Learner Weakness Actionable for Learning from Demonstration with Novice Teachers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167103-167118
From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167119-167148
Enhancing Neural Theorem Proving via High-Quality Data Selection and Verifier Feedback
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167149-167162
Flash-VAED: Plug-and-Play VAE Decoders for Efficient Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167163-167182
ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167183-167199
VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167200-167219
AmbiRefer3D: 3D Visual Grounding with Referential Ambiguity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167220-167247
Conformal Risk-Averse Decision Making with Action Conditional Guarantee
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167248-167276
Sparse Bayesian Deep Functional Learning with Structured Region Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167277-167310
ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167311-167336
Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167337-167381
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167382-167408
On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167409-167458
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167459-167479
PaperBanana: Automating Academic Illustration for AI Scientists
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167480-167523
APIC: Orthogonalized Neuro-Symbolic Modeling for Nonlinear Dissipative Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167524-167544
GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167545-167563
Multi-Task Bayesian In-Context Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167564-167583
Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167584-167609
MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167610-167626
ProMeCD: Unifying Long-Tailed and Noisy Label Learning via White-Box Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167627-167645
Unbiased Dynamic Pruning for Efficient Group-Based Policy Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167646-167665
Rethinking Convergence in MoE Training: The Role of Routing Sparsity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167666-167688
Beyond Pixels: Mining Compressed Domain Artifacts for Efficient AI-Generated Video Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167689-167701
Mitigating Error Propagation in Low-Rank Approximation of Large Models via Distribution-Aware Whitening
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167702-167723
SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167724-167752
Semi-LAR: Semi-supervised Contrastive Learning with Linear Attention for Removal of Nighttime Flares
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167753-167769
Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167770-167801
Robustifying Vision-Language Models via Test-Time Prompt Adaptation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167802-167817
Hybrid Policy Distillation for LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167818-167837
CAMEL: Confidence-Gated Reflection for Reward Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167838-167860
Stochastic Gradient Methods under Heavy-Tailed Noises in Weakly Convex Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167861-167886
Training-Free Adaptation of Diffusion Models via Doob’s $h$-Transform
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167887-167917
PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167918-167935
FreeRet: MLLMs as Training-Free Retrievers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167936-167952
DRIVE: Best Data Scheduling Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167953-167965
HSMAD: Heterophily-Driven Spectral and Manifold Learning for Graph Anomaly Detection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167966-167985
RE-TRAC: REcursive TRAjectory Compression for Deep Search Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:167986-168007
Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168008-168029
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168030-168049
Forensic Prompting with Dual-Action Policy Optimization for Vision-Language Forgery Detection and Localization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168050-168063
How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168064-168079
ACTIVE-o3 : Empowering MLLMs with Active Perception via Pure Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168080-168109
ProAct: A Benchmark and Multimodal Framework for Structure-Aware Proactive Response
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168110-168137
The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168138-168166
Geometric Control of Out-of-Distribution Shift in Safe Offline RL
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168167-168191
Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168192-168210
Efficient Adaptive Testing via Gradient Path Matching Subset Selection for AI Education
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168211-168225
Rethinking Graph Transformers as Graph Signal Denoisers: The Role of Block-Diagonal Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168226-168243
Understanding the Ability of LLMs to Handle Character-Level Perturbation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168244-168264
Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168265-168284
On the Spectral Unreachability of Brain Graph Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168285-168299
Phase-Type Variational Autoencoders for Heavy-Tailed Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168300-168321
Affine-Equivariant Kernel Space Encoding for NeRF Editing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168322-168339
Can local learning match self-supervised backpropagation?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168340-168361
Near-Optimal Dynamic Matching via Coarsening with Application to Heart Transplantation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168362-168380
Learning Normalized Energy Models for Linear Inverse Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168381-168415
PAC-Bayesian Reinforcement Learning Trains Generalizable Policies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168416-168443
One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168444-168472
HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168473-168499
Conflict-Aware Adaptive Alignment for LLM Hallucination Mitigation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168500-168514
Less Token, More Signal: MoE Expert Pruning via Critical Token Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168515-168538
Ranking Time Series using a Time Warping Ideal Point Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168539-168564
Think in Cloud, Look at Edges: Semantic-Driven Query Decomposition for Efficient Video Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168565-168581
On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168582-168609
DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168610-168651
MixFP4: Enhancing NVFP4 with Adaptive FP4/INT4 Block Representations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168652-168674
Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168675-168694
Generalization Bounds for Out-of-distribution Generalization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168695-168719
History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168720-168745
VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168746-168767
Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168768-168789
Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168790-168812
Latent Collaboration in Multi-Agent Systems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168813-168847
OVLR: Efficient, Scalable, and Robust Training via Output-Level Variance-Reduced Likelihood Ratio
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168848-168869
Leveraging Evidence Priors for Robust Prompt Learning under Noisy Supervision in Vision-Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168870-168884
SlaClip: Gradient Norm Slacks can be Indicator for Adaptive Clipping in DP-SGD
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168885-168906
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168907-168954
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168955-168978
From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:168979-169011
Predicting the Order of Upcoming Tokens Improves Language Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169012-169029
From Representation to Action: A Unified Laplacian Framework for Spatial Representation and Path Planning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169030-169045
IVQ: Structured and Lightweight Vector Quantization via Binary Hierarchical Composition Inspired by $\textitIChing$
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169046-169060
Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169061-169082
Learning Coupled Continuous-Time Latent Dynamics from Irregular Events
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169083-169107
GLAD: Bidirectional Structure-Attribute Alignment via Latent Graph Diffusion Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169108-169130
From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares Certificates
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169131-169164
AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169165-169179
A Random Matrix Theory of Masked Self-Supervised Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169180-169209
Fast KV Compaction via Attention Matching
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169210-169239
Position: Predictive Uncertainty Is Not Enough — Joint Distribution for Full Uncertainty Representation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169240-169260
Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169261-169274
Position: We Need Large Language Models Optimized For Our Well-Being
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169275-169285
Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169286-169302
Position: The Alignment Community is Unintentionally Building a Censor’s Toolkit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169303-169316
Position: Agentic Systems Should be General
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169317-169331
Position: AI Leaderboards Are Underserving the Global South: A Case Study from India
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169332-169348
Position: Stop Automating Peer Review Without Rigorous Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169349-169380
Position: Deployed Reinforcement Learning should be Continual
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169381-169395
Position: Unplugging a Seemingly Sentient Machine Is the Rational Choice — A Metaphysical Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169396-169429
Position: Evaluation of ECG Representations Must Be Fixed
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169430-169465
Position: LLM-Safety Evaluations Lack Robustness
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169466-169489
Position: Assistive AI requires Personalized Specialists, not Generalists
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169490-169502
Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169503-169525
Position: Don’t Just "Fix it in Post": A Science of AI Must Study Training Dynamics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169526-169542
Position: Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169543-169560
Position: We Need AI Efficiency Incentives for Accessibility and Sustainability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169561-169574
Position: AI Usage Policies Should Be Aligned with International Human Rights Law
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169575-169589
Position: Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169590-169655
Position: Generative Models Erode Human Temporal Learning Through Market Selection
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169656-169670
Position: Profiling Game Worlds by Transition Complexity
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169671-169684
Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169685-169708
Position: Neural Approximation Is Rarely Justified for Hard Combinatorial Problems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169709-169726
Position: AGI Requires a Coordination Layer on Top of Pattern Repositories
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169727-169741
Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169742-169759
Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169760-169772
Position: Peer Review Should Be Calibrated via LLM Scoring
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169773-169801
Position: Behavioral Systems Require Behavioral Tests
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169802-169815
Position: Carbon Footprint Reporting Should Be Routine in Machine Learning Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169816-169830
Position: Adopting AI in Practice Does Not Guarantee the Productivity Boost
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169831-169842
Position: Significant impact of numerical precision in scientific machine learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169843-169864
Position: Metaphysical Concepts in AI Should Be Judged by Their Consequences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169865-169875
Position: Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169876-169891
Position: Artificial Intelligence Needs Meta Intelligence - the Case for Metacognitive AI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169892-169906
Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169907-169922
Position: Mechanisms for Aggregated Individual Reporting Should be Established for Post-Deployment Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169923-169938
Position: Verifiable Data Minimization is a Prerequisite for Responsible, Privacy-Preserving Industrial Vision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169939-169950
Position: Interpretability in Deep Time Series Models Demands Semantic Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169951-169968
Position: Ideas Should be the Center of Machine Learning Research
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169969-169980
Position: Virtual Cells Need Context, Not Just Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169981-169998
Position: Modular Memory is the Key to Continual Learning Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:169999-170016
Position: Uncertainty is a Strategic Signal in Human–AI Decision Making
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170017-170029
Position: Human-Centric Vision Requires Topological Generalization Beyond Fixed Skeletal Topologies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170030-170045
Position: Preparing for AI Systems That Deceive Developers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170046-170060
Position: A Dynamical Systems Perspective is Needed to Advance Time Series Modeling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170061-170110
Position: The Data Provenance–Parametric Divide in Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170111-170125
Position: Explanation Stability Is a Property of the Model–Method Pair, Not the Model
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170126-170142
Position: AI Should Facilitate Democratic Deliberation at Scale
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170143-170157
Position: In Defense of Information Leakage in Concept-based Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170158-170176
Position: Embodied AI Requires a Privacy-Utility Tradeoff
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170177-170188
Position: Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170189-170203
Position: AI Researchers Must Help Lead Arms Control to Mitigate Military AI Risks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170204-170216
Position: Reasoning After Perception Means Reasoning Without Vision
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170217-170238
Position: Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170239-170251
Position: AI Capabilities May Not Increase Exponentially
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170252-170261
Position: Mathematical DSL Benchmarks Need Executable Interface Contracts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170262-170282
Position: RLHF May Not Reflect Genuine Preferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170283-170322
Position: Responsible AI for AI companions must actively combat violence toward intimate partners
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170323-170338
Position: Model identity in machine learning is a convention, not a property
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170339-170344
Position: Comprehensive AI governance requires addressing non-model capability gains
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170345-170356
Position: Quantum Deep Learning Still Needs a Quantum Leap
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170357-170374
Position: Universal Aesthetic Alignment Narrows Artistic Expression
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170375-170387
Position: Graph Condensation Needs a Reset—Move Beyond Full-dataset Training and Model-Dependence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170388-170403
Position: Anthropomorphic Misalignment Research Needs Stronger Evidence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170404-170428
Position: ICML Should Treat Hosted LLM APIs as Versioned Dependencies and Require Drift-Audit Artifacts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170429-170439
Position: Machine Learning Research Should Be Guided by Explicit, Pluralistic Models of Human Purpose
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170440-170451
Position: Generative Distributional Integrity against Backdoor Attacks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170452-170463
Position: Reframing Hallucination: Latent Space Geodesics as a Pathway for Generative Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170464-170474
Position: What Cézanne Knew About Visual Intelligence That Vision-Language Models Miss
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170475-170493
Position: Irresponsible AI: big tech’s influence on AI research and associated impacts
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170494-170511
Position: Interestingness is an Inductive Heuristic for Future Compression Progress
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170512-170543
Position: Every Ground Truth is a Human Construction, not an Objective Truth
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170544-170556
Position: Assistive Agents Need Accessibility Alignment
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170557-170568
Position: The Systemic Lack of Agency in Visual Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170569-170583
Position: RL Should Be Used to Adjust Foundation Models, NOT Abused
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170584-170594
Position: Token Taxes Can Mitigate AI’s Economic Risks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170595-170606
Position: Temporal Measurement Interval Determines Computational and Model Complexity in Single-Cell Perturbation Analysis
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170607-170631
Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170632-170645
Position: ’AI Alignment’ Encompasses Competing Technical Priorities
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170646-170662
Position: Federated Learning is a Lens towards a Democratized Future for the Scaling Law Era
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170663-170677
Position: Web Agents Should Use Typed Actions Instead of Click-Based Browsing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170678-170690
Position: Epistemic Uncertainty Estimation Methods are Fundamentally Incomplete
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170691-170717
Position: AI Evaluations Should be Grounded on a Theory of Capability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170718-170740
Position: Causality Is Key for Interpretability Claims to Generalise
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170741-170779
Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170780-170797
Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170798-170818
Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170819-170835
Position: Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170836-170855
Position: Make Planning Research Rigorous Again!
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170856-170871
Position: Medical AI Neglects Real Treatment Outcomes
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170872-170902
Position: Knowing Isn’t Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170903-170923
Position: CNNs Don’t See Shape — And That Won’t Change Without New Architectures
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170924-170951
Position: We Need Practical AI Alignment Methods to Mirror Human Reasoning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170952-170977
Position: We need to re-think the concept of "real" images.
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170978-170988
Position: Bridge the AI development-regulation gap through dedicated committees and adaptive legislation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:170989-171010
Position: Modular Safety Guardrails Are Necessary for Foundation-Model-Enabled Robots in the Real World
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171011-171025
Position: Multi-Agent Explainability Needs Contracts Before Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171026-171058
Position: The Open Benchmark Paradox Must Be Resolved through Sovereign Medical Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171059-171071
Position: AI Lock-In Is in Progress, and We Must Be Prepared
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171072-171088
Position: Evaluating LLMs in Finance Requires Explicit Bias Consideration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171089-171110
Position: Certified Correctness in Neural Constraint Reasoning Requires Symbolic Integration
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171111-171126
Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171127-171139
Position: AI Evaluation Should Work With Humans
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171140-171149
Position: Unlabeled $\not =$ No Human Supervision in Visual Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171150-171161
Position: LLM Benchmark Datasets Should Be Contamination-Resistant
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171162-171175
Position: Reasoning is a Learnable Rule-Based Process
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171176-171199
Position: Predicting AI’s Impact on Labor Is a Core Machine Learning Problem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171200-171212
Position: Retire the "Positive Backdoor" Label—Secret Alignment Requires Strict and Systematic Evaluation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171213-171239
Position: From Crowdsourcing to Crowd-LLM-Sourcing and LLM-Sourcing
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171240-171252
Position: Agentic AI System Is a Foreseeable Pathway to AGI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171253-171268
Position: Stop Chasing the C-index when Evaluating Survival Analysis Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171269-171297
Position: We Need A Unified Definition of Hallucination (It’s The World Model, Stupid!)
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171298-171314
Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171315-171329
Position: Reliable AI Needs to Externalize Implicit Knowledge: A Human–AI Collaboration Perspective
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171330-171343
Position: Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171344-171364
Position: Agent Evaluation Should Be Agentified for Openness, Standardization, and Reproducibility
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171365-171374
Position: There are futures that benchmark-driven AI cannot see
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171375-171387
Position: LLM for Physics Research Requires Domain-Specialized Training and Tooling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171388-171407
Position: Breaking the Dual Curse of Multilingual AI Requires Socio-Technical Guardrails, Not Post-Hoc Alignment Alone
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171408-171434
Position: LLM Agents Are the Antidote to Walled Gardens
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171435-171448
Position: Age Estimation Models Do Not Process Biometric Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171449-171459
Position: Prioritize Identifying Structure, Not Complex Models, for Scientific Discovery
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171460-171485
Position: Theory-Level Autoformalization, From Isolated Statements to Unified Formal Knowledge Bases
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171486-171501
Position: Video LLMs Must Not Ignore the Pixel Dynamics in Plain Sight
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171502-171514
Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171515-171539
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171540-171557
Position: Benchmarks for Vision–Language Models in Urban Perception Should Be Reliability-Aware and Negotiated
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171558-171571
Position: Prompts for Public-Sector LLMs Should Be Governed as Commons
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171572-171582
Position: State-of-the-Art Claims Require State-of-the-Art Evidence
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171583-171601
Position: Interpretability Can Be Actionable
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171602-171621
Position: Agentic AI Orchestration Should Be Bayes-Consistent
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171622-171639
Position: Hippocampal Explicit Memory Is the Cornerstone for AGI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171640-171663
Position: Use Sparse Autoencoders to Discover Unknowns
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171664-171675
Position: AI Must Become Planet-Centered, Not Just Human-Centered
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171676-171695
Position: Bridge Human Interpretation and Machine Representation With Explicit Specification For Qualitative Data Analysis In LLM Era
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171696-171744
Position: Safe Models Do Not Guarantee Safe Societies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171745-171760
Position: The Text-Centric Bias in Foundation Models Must Be Revisited for a Speech-First Future
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171761-171774
Position: It’s Time to Optimize LLMs for Self-Consistency
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171775-171794
Position: Vision Encoders should be Image Size Agnostic and Task Driven
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171795-171809
Position: Time to Close The Validation Gap in LLM Social Simulations
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171810-171824
Position: AI/ML Deepfake Research is Misaligned with AI Generated Non-Consensual Intimate Imagery (AIG-NCII)
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171825-171839
Position: Responsible Practices and Model Performance are *Not* Competing Goals
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171840-171850
Position: Adversarial ML for LLMs Is Not Making Any Progress
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171851-171863
Position: Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171864-171879
Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171880-171907
Position: Topological Machine Learning Cannot Progress without Experimental Standards
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171908-171928
Position: Regulating Algorithms Is Not Enough. A Study of Content Discovery in Online Platforms
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171929-171956
Position: The Inevitable Transition to Machine Learning in Quantum Chemistry
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171957-171975
Position: Why Current Fair-AI Fails Spatial Fairness, And How to Adapt to It
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171976-171989
Position: Multiple Definitions & Unrealistic Assumptions of Model Collapse Distract from Real World Threats
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:171990-172003
Position: Peer Review in ML/AI Conferences Should Separate Publication from Presentation and Offer Non-Anonymous Review Tracks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172004-172015
Position: Robust AI Personalization Will Require a Human Context Protocol
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172016-172029
Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172030-172042
Position: When AI Decides Who Gets an Organ: Multi-Agentic AI Systems in Transplant Medicine Risk Amplifying Disparities Without Targeted Explainability and Deployment Strategies
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172043-172055
Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172056-172068
Position: Safety Must Precede the Deployment of Open-Ended AI Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172069-172084
Position: Agent Security Needs Redefinition through a Holistic Framework
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172085-172097
Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172098-172111
Position: Quantum Program Generation Must Prioritize Validity Over Probabilistic Scaling
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172112-172132
Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172133-172149
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172150-172173
Position: Safe AI Should be Resistant and Resilient in an Evolving World
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172174-172195
Position: Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172196-172207
Position: Trustworthy Model Context Protocol Enables Responsible Agentic AI!
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172208-172220
Position: Time-Series Foundation Models Require Explicit Domain-Level Benchmarks
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172221-172247
Position: If Open Source Is to Win, It Must Go Public
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172248-172261
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172262-172292
Position: Good Embodied Reward Models Need Bad Behavior Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172293-172305
Position: Solipsistic superintelligence is unlikely to be cooperative
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172306-172329
Position: Stop Using Culturally Biased Human Cognitive Benchmarks to Evaluate LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172330-172336
Position: Infringement cannot be cured after training
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172337-172350
Position: Preregister Experiments with AI Agents
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172351-172364
Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172365-172378
Position: Fairness Failure in Generative Models is an Evaluation Problem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172379-172407
Position: Express Your Doubts — Probabilistic World Modeling Should Not Be Based on Token *logprobs*
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172408-172426
Position: Natural Language Should Not Fully Replace Formal Languages
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172427-172440
Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172441-172459
Position: Agentic Safety is an Epistemic Property, Not a Behavioral One
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172460-172469
Position: Agents Should Invoke External Tools ONLY When Epistemically Necessary
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172470-172485
Position: Weight Space Should Be a First-Class Generative AI Modality
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172486-172498
Position: Let’s Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172499-172513
Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172514-172536
Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172537-172554
Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172555-172570
Position: EU AI Act’s Research Exemptions Can Break the Publication Norms of Major AI Conferences
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172571-172584
Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172585-172604
Position: Digital Agents Require Unified Agent-Native Computers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172605-172624
Position: LLM-Based Social Simulations Require a Boundary
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172625-172648
Position: AI Welfare Is Bullshit
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172649-172665
Position: Deciphering the Functions of DNAs, RNAs, and Proteins Should Consider Multi-Modal Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172666-172691
Position: Creating High-Fidelity Synthetic Training Data Should Employ Multi-level Optimization
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172692-172712
Position: The Privacy-Auditability Paradox in Federated Learning: Why We Need Controllable Secure Aggregation
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172713-172724
Position: Multi-Agent Systems Should Prioritize Concurrency Control
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172725-172740
Position: World Models as an Intermediary between Agents and the Real World
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172741-172754
Position: Scale is a False Promise for Endangered Languages
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172755-172768
Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172769-172779
Position: Towards Responsible Evaluation for Text-to-Speech
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172780-172793
Position: Your VLM May Not Be Thinking with Interleaved Images
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172794-172806
Position: Hallucinations Undermine Trust; Metacognition is a Way Forward
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172807-172821
Position: The Term "Machine Unlearning" Is Overused in LLMs
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172822-172834
Position: LLMs Should Incorporate Explicit Mechanisms for Human Empathy
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172835-172862
Position: LLMs can’t jump
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172863-172872
Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172873-172895
Position: Prompting Intent Should Be Audited in LLM-Assisted Peer Review
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172896-172914
Position: Benchmarks Cannot Establish Deployment Readiness of Clinical AI
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172915-172930
Position: GenAI Systems Should Implement Contribution-Aware Revenue Sharing for Data Providers
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172931-172942
Position: Privacy Is a Claim, Not a Property of Synthetic Data
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172943-172957
Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172958-172973
Position: Genomic Model Research Must Move Beyond Anecdotal Evaluation of Interpretability Methods
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:172974-172999
Position: LLM Serving Needs Mathematical Optimization and Algorithmic Foundations, Not Just Heuristics
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:173000-173011
Position: Accountable Deployment of Agentic AI Demands Layered, System-Level Interpretability
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:173012-173024
Position: To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack
; Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:173025-173037
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