Abstract is missing.
- PrefaceSophia Sanborn, Christian Shewmake, Simone Azeglio, Arianna Di Bernardo, Nina Miolane. [doi]
- Computing representations for Lie algebraic networksNoah Shutty, Casimir Wierzynski. 1-21 [doi]
- Disentangling images with Lie group transformations and sparse codingHo Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen. 22-47 [doi]
- Sparse Convolutions on Lie GroupsTycho F. A. van der Ouderaa, Mark van der Wilk. 48-62 [doi]
- Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View ImagesDavid Klee, Ondrej Biza, Robert Platt, Robin Walters. 64-80 [doi]
- Moving frame net: SE(3)-equivariant network for volumesMateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo. 81-97 [doi]
- Periodic signal recovery with regularized sine neural networksDavid A. R. Robin, Kevin Scaman, Marc Lelarge. 98-110 [doi]
- Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information?Anshul Thakur, Vinayak Abrol, Pulkit Sharma. 111-121 [doi]
- Do neural networks trained with topological features learn different internal representations?Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge. 122-136 [doi]
- Fuzzy c-means clustering in persistence diagram space for deep learning model selectionThomas Davies 0001, Jack Aspinall, Bryan Wilder, Tran-Thanh Long. 137-157 [doi]
- On the ambiguity in classificationArif Dönmez. 158-170 [doi]
- Connectedness of loss landscapes via the lens of Morse theoryDanil Akhtiamov, Matt Thomson. 171-181 [doi]
- Group invariant machine learning by fundamental domain projectionsBenjamin Aslan, Daniel Platt, David Sheard. 181-218 [doi]
- Mixed-membership community detection via line graph curvatureYu Tian, Zachary Lubberts, Melanie Weber 0001. 219-233 [doi]
- Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensemblesJustin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig. 234-257 [doi]
- Is the information geometry of probabilistic population codes learnable?John J. Vastola, Zach Cohen, Jan Drugowitsch. 258-277 [doi]
- On the level sets and invariance of neural tuning landscapesBinxu Wang, Carlos R. Ponce. 278-300 [doi]
- Learning invariance manifolds of visual sensory neuronsLuca Baroni, Mohammad Bashiri, Konstantin F. Willeke, Ján Antolík, Fabian H. Sinz. 301-326 [doi]
- Geometry of inter-areal interactions in mouse visual cortexRamakrishnan Iyer, Joshua H. Siegle, Gayathri Mahalingam, Shawn R. Olsen, Stefan Mihalas. 327-353 [doi]
- Topological ensemble detection with differentiable yokingDavid A. Klindt, Sigurd Gaukstad, Melvin Vaupel, Erik Hermansen, Benjamin A. Dunn. 354-369 [doi]
- Conformal Isometry of Lie Group Representation in Recurrent Network of Grid CellsDehong Xu, RuiQi Gao, Wen-Hao Zhang, Xue-Xin Wei, Ying Nian Wu. 370-387 [doi]
- See and Copy: Generation of complex compositional movements from modular and geometric RNN representationsSunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila Fiete. 388-400 [doi]