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Volume 334: Topology, Algebra, and Geometry in Data Science (TAG-DS 2026), 18-20 August 2026, Boston, Massachusetts, USA
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Editors: Eddie Berman, Guillermo Bernárdez, Samantha Chen, Alex Cloninger, Timothy Doster, Tegan Emerson, J. Elisenda Grigsby, Henry Kvinge, Hannah Lawrence, Tim Marrinan, Audun Myers, Mathilde Papillon, Behrooz Tahmasebi, Lev Telyatnikov, Robin Walters, Melanie Weber, YuQing Xie, Eric Yeats
Scalably computing metric magnitude
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):4-24
Encoding the Euler Characteristic Transform
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):25-42
Topology of a Smile: Persistent Homology in Dental Imaging
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):43-58
Reassessing Muon for Matrix Factorization
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):59-86
Dimensionless Controls of Plasticity Under Alternating Tasks: From Evolutionary Biology to Continual Learning
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):87-107
Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):108-122
A Weisfeiler–Leman Characterization of Global-Attention Graph Transformers for Mixed-Integer Linear Programs
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):123-142
Finsler Geometry, Graph Neural Networks, and You
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):143-164
Probing the effect of data representation on transformer learning
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):165-189
Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):190-210
Tracking Representation Dynamics in Large Language Models with Persistent Homology
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):211-245
Scalable Graph Coreset Selection via Greedy Sampling
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):246-261
The Provable Unsupervised Learning Rule Known as Batch Normalization
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):262-278
Local Manifold Explanations with Tangent Space Regression
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):279-297
Look Before You Lift: Visual and Quantitative Diagnostics for Topological Deep Learning
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):298-315
Topological Simplification in Predictive Coding Networks
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):316-332
Disentanglement by Prediction: A Twin Autoencoder with a Factored Latent Traveler
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):333-344
GrAE ScaLE: Grassmannian AutoEncoder for Scalable Linearly-invariant Embeddings
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):345-363
Loss Landscape Geometry of Partial Differential Equation Emulators: Or, Symmetry Learning via Gradient Alignment
; Proceedings of the 2nd Conference on Topology, Algebra, and Geometry in Data Science(TAG-DS 2026), PMLR 334(2):364-386
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