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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 197: NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 03 December 2022, New Orleans, Lousiana, USA

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Editors: Sophia Sanborn, Christian Shewmake, Simone Azeglio, Arianna Di Bernardo, Nina Miolane

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Preface

; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:i-vi

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Computing representations for Lie algebraic networks

Noah Shutty, Casimir Wierzynski; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:1-21

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Disentangling images with Lie group transformations and sparse coding

Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno Olshausen; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:22-47

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Sparse Convolutions on Lie Groups

Tycho F. A. van der Ouderaa, Mark van der Wilk; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:48-62

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Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images

David Klee, Ondrej Biza, Robert Platt, Robin Walters; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:64-80

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Moving frame net: SE(3)-equivariant network for volumes

Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:81-97

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Periodic signal recovery with regularized sine neural networks

David A. R. Robin, Kevin Scaman, Marc Lelarge; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:98-110

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Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information?

Anshul Thakur, Vinayak Abrol, Pulkit Sharma; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:111-121

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Do neural networks trained with topological features learn different internal representations?

Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:122-136

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Fuzzy c-means clustering in persistence diagram space for deep learning model selection

Thomas Davies, Jack Aspinall, Bryan Wilder, Tran-Thanh Long; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:137-157

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On the ambiguity in classification

Arif Dönmez; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:158-170

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Connectedness of loss landscapes via the lens of Morse theory

Danil Akhtiamov, Matt Thomson; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:171-181

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Group invariant machine learning by fundamental domain projections

Benjamin Aslan, Daniel Platt, David Sheard; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:181-218

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Mixed-membership community detection via line graph curvature

Yu Tian, Zachary Lubberts, Melanie Weber; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:219-233

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Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles

Justin Jude, Matthew G Perich, Lee E Miller, Matthias H Hennig; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:234-257

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Is the information geometry of probabilistic population codes learnable?

John J. Vastola, Zach Cohen, Jan Drugowitsch; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:258-277

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On the level sets and invariance of neural tuning landscapes

Binxu Wang, Carlos R. Ponce; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:278-300

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Learning invariance manifolds of visual sensory neurons

Luca Baroni, Mohammad Bashiri, Konstantin F. Willeke, Ján Antolík, Fabian H. Sinz; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:301-326

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Geometry of inter-areal interactions in mouse visual cortex

Ramakrishnan Iyer, Joshua Siegle, Gayathri Mahalingam, Shawn Olsen, Stefan Mihalas; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:327-353

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Topological ensemble detection with differentiable yoking

David Klindt, Sigurd Gaukstad, Melvin Vaupel, Erik Hermansen, Benjamin Dunn; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:354-369

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Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells

Dehong Xu, Ruiqi Gao, Wen-Hao Zhang, Xue-Xin Wei, Ying Nian Wu; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:370-387

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See and Copy: Generation of complex compositional movements from modular and geometric RNN representations

Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila R. Fiete; Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 197:388-400

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