NeurReps

Publications

2022

Tycho F. A. van der Ouderaa, Mark van der Wilk
Sparse Convolutions on Lie Groups. NeurReps (2022)
John J. Vastola, Zach Cohen, Jan Drugowitsch
Is the information geometry of probabilistic population codes learnable? NeurReps (2022)
Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge
Do neural networks trained with topological features learn different internal representations? NeurReps (2022)
Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen
Disentangling images with Lie group transformations and sparse coding. NeurReps (2022)
Yu Tian, Zachary Lubberts, Melanie Weber
Mixed-membership community detection via line graph curvature. NeurReps (2022)
Danil Akhtiamov, Matt Thomson
Connectedness of loss landscapes via the lens of Morse theory. NeurReps (2022)
David A. Klindt, Sigurd Gaukstad, Melvin Vaupel, Erik Hermansen, Benjamin A. Dunn
Topological ensemble detection with differentiable yoking. NeurReps (2022)
Ramakrishnan Iyer, Joshua H. Siegle, Gayathri Mahalingam, Shawn R. Olsen, Stefan Mihalas
Geometry of inter-areal interactions in mouse visual cortex. NeurReps (2022)
Sophia Sanborn, Christian Shewmake, Simone Azeglio, Arianna Di Bernardo, Nina Miolane
Preface. NeurReps (2022)
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles. NeurReps (2022)
Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila Fiete
See and Copy: Generation of complex compositional movements from modular and geometric RNN representations. NeurReps (2022)
Arif Dönmez
On the ambiguity in classification. NeurReps (2022)
Luca Baroni, Mohammad Bashiri, Konstantin F. Willeke, Ján Antolík, Fabian H. Sinz
Learning invariance manifolds of visual sensory neurons. NeurReps (2022)
Benjamin Aslan, Daniel Platt, David Sheard
Group invariant machine learning by fundamental domain projections. NeurReps (2022)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma
Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information? NeurReps (2022)
Dehong Xu, Ruiqi Gao, Wen-Hao Zhang, Xue-Xin Wei, Ying Nian Wu
Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells. NeurReps (2022)
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo
Moving frame net: SE(3)-equivariant network for volumes. NeurReps (2022)
Binxu Wang, Carlos R. Ponce
On the level sets and invariance of neural tuning landscapes. NeurReps (2022)
David Klee, Ondrej Biza, Robert Platt, Robin Walters
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. NeurReps (2022)
Noah Shutty, Casimir Wierzynski
Computing representations for Lie algebraic networks. NeurReps (2022)
David A. R. Robin, Kevin Scaman, Marc Lelarge
Periodic signal recovery with regularized sine neural networks. NeurReps (2022)
Thomas Davies, Jack Aspinall, Bryan Wilder, Tran-Thanh Long
Fuzzy c-means clustering in persistence diagram space for deep learning model selection. NeurReps (2022)

volume 197, 2022

NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 03 December 2022, New Orleans, Lousiana, USA NeurReps 197 (2022)