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Volume 326: Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICLR 2026, 26 April 2026, Riocentro Convention and Event Center, Rio de Janeiro, Brazil
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Editors: Alison Pouplin, Sharvaree Vadgama, Erik Bekkers, Sékou-Oumar Kaba, Hannah Lawrence, Manuel Lecha, Elizabeth Baker, Julian Suk, Robin Walters, Jakub Tomczak, Stefanie Jegelka
Preface to GRaM: the Second Workshop on Geometry-grounded Representation Learning and Generative Modeling
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:1-4
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Algebraic Priors for Approximately Equivariant Networks
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:5-31
Geometry-Grounded Flow Matching on Compact Manifolds
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:32-44
The Affine Divergence: Aligning Activation Updates Beyond Normalisation
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:45-74
Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:75-87
Towards Text-Line Segmentation of Historical Documents Using Graph Neural Networks
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:88-108
Neurodiversity Meets Colors: Does Position Awareness Destroy Generalization in Brain Graph Learning?
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:109-134
On the Geometry of Analogical Reasoning in Latent Space
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:135-144
k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:145-183
ReCycle Net: Cycle-Aware, Feature-Free GNN For Community Detection
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:184-200
Sparse Concept Anchoring for Interpretable and Controllable Neural Representations
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:201-226
Laplacian Flows for Policy Learning from Experience
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:227-261
Mutual Information and Task-Relevant Latent Dimensionality
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:262-293
Can Graph Foundation Models Generalize Over Architecture?
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:294-320
Rigid Invariant Sliced Wasserstein via Independent Embeddings
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:321-355
Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:356-386
GSVD for Geometry-Grounded Dataset Comparison: An Alignment Angle Is All You Need
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:387-397
Categorical Trace Loop Networks for Gauge-Randomized Holonomy Regression
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:398-415
E$(n)$-Equivariant Spherical Decision Surfaces
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:416-432
Effective Resistance Rewiring: A Simple Topological Correction for Over-Squashing
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:433-455
Lift me up: the impact of liftings on hypergraph neural networks
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:456-474
Tensor-SAE: Structured Sparse Autoencoders for Interpretable and Efficient Image Representations
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:475-488
Do Coresets, Pruning, and Quantization Preserve Neural Network Representations?
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:489-496
A Geometric Perspective on the Difficulties of Learning GNN-based SAT Solvers
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:497-518
CLERF: Contrastive LEaRning for Full-Range Head Pose Estimation
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:519-532
The GRaM 2026 Competition and Warped-IFW Dataset
; Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling, PMLR 326:533-602
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