Preface

Sophia Sanborn, Christian Shewmake, Simone Azeglio, Nina Miolane; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:i-vii

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Sheaf-based Positional Encodings for Graph Neural Networks

Yu He, Cristian Bodnar, Pietro Liò; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:1-18

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AMES: A differentiable embedding space selection framework for latent graph inference

Yuan Lu, Haitz Sàez de Ocàriz Borde, Pietro Liòo; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:19-34

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Fast Temporal Wavelet Graph Neural Networks

Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son Hy, Risi Kondor; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:35-54

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Haldane bundles: a dataset for learning to predict the Chern number of line bundles on the torus

Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:55-74

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Internal representations of vision models through the lens of frames on data manifolds

Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:75-115

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On complex network dynamics of an in vitro neuronal system during Rest and Gameplay

Moein Khajehnejad, Forough Habibollahi, Alon Loeffler, Brett J. Kagan, Adeel Razi; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:116-128

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Joint Group Invariant Functions on Data-Parameter Domain Induce Universal Neural Networks

Sho Sonoda, Hideyuki Ishi, Isao Ishikawa, Masahiro Ikeda; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:129-144

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Scalar Invariant Networks with Zero Bias

Chuqin Geng, Xiaojie Xu, Haolin Ye, Xujie Si; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:145-163

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Decorrelating neurons using persistence

Rubén Ballester, Carles Casacuberta, Sergio Escalera; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:164-182

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Spectral Maps for Learning on Subgraphs

Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:183-205

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Homological Convolutional Neural Networks

Antonio Briola, Yuanrong Wang, Silvia Bartolucci, Tomaso Aste; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:206-231

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Curvature Fields from Shading Fields

Xinran Han, Todd Zickler; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:232-254

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Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity

Christopher Versteeg, Andrew R. Sedler, Jonathan D. McCart, Chethan Pandarinath; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:255-278

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Pitfalls in Measuring Neural Transferability

Suresh Suryaka, Abrol Vinayak, Thakur Anshul; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:279-291

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Random field augmentations for self-supervised representation learning

Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:292-302

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Symmetric models for radar response modeling

Colin Kohler, Nathan Vaska, Ramya Muthukrishnan, Whangbong Choi, Jung Yeon Park, Justin Goodwin, Rajmonda Caceres, Robin Walters; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:303-323

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Explicit neural surfaces: learning continuous geometry with deformation fields

Thomas Walker, Octave Mariotti, Amir Vaxman, Hakan Bilen; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:324-345

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Structural Similarities Between Language Models and Neural Response Measurements

Jiaang Li, Antonia Karamolegkou, Yova Kementchedjhieva, Mostafa Abdou, Anders S\ogaard; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:346-365

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Distance Learner: Incorporating Manifold Prior to Model Training

Aditya Chetan, Nipun Kwatra; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:366-387

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From charts to atlas: Merging latent spaces into one

Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:388-404

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Geometry of abstract learned knowledge in deep RL agents

James Mochizuki-Freeman, Md Rysul Kabir, Mitesh Gulecha, Zoran Tiganj; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:405-424

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Optimal packing of attractor states in neural representations

John Vastola; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:425-442

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Discovering latent causes and memory modification: A computational approach using symmetry and geometry

Arif Dönmez; Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, PMLR 228:443-458

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