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Editors: Sophia Sanborn, Christian Shewmake, Simone Azeglio, Nina Miolane
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Preface
; 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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