NeurIPS 2023 Workshop NeurReps Submissions

Learning Useful Representations of Recurrent Neural Network Weight Matrices
Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Optimal packing of attractor states in neural representations
John Vastola
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Changes in the geometry of hippocampal representations across brain states
Wannan Yang, Chen Sun, Gyorgy Buzsaki
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Visual Scene Representation with Hierarchical Equivariant Sparse Coding
Christian A Shewmake, Domas Buracas, Hansen Lillemark, Jinho Shin, Erik J Bekkers, Nina Miolane, Bruno Olshausen
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Geometry of abstract learned knowledge in deep RL agents
James Mochizuki-Freeman, Md Rysul Kabir, Mitesh Gulecha, Zoran Tiganj
- Published: 29 Nov 2023, Last Modified: 30 Nov 2023
- NeurReps 2023 Oral
- Readers: Everyone
On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning
Matteo Gamba, Arna Ghosh, Kumar Krishna Agrawal, Blake Aaron Richards, Hossein Azizpour, Mårten Björkman
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
On the Information Geometry of Vision Transformers
Sonia Joseph, Kumar Krishna Agrawal, Arna Ghosh, Blake Aaron Richards
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Curvature Fields from Shading Fields
Xinran Han, Todd Zickler
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks
Rahul Ramesh, Mikail Khona, Robert P. Dick, Hidenori Tanaka, Ekdeep Singh Lubana
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Towards Information Theory-Based Discovery of Equivariances
Hippolyte Charvin, Nicola Catenacci Volpi, Daniel Polani
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Oral
- Readers: Everyone
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Oral
- Readers: Everyone
From Charts to Atlas: Merging Latent Spaces into One
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Lio, Emanuele Rodolà
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Learning Symmetrization for Equivariance with Orbit Distance Minimization
Dat Tien Nguyen, Jinwoo Kim, Hongseok Yang, Seunghoon Hong
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Algebraic Topological Networks via the Persistent Local Homology Sheaf
Gabriele Cesa, Arash Behboodi
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
SO(3)-Equivariant Representation Learning in 2D Images
Darnell Granberry, Alireza Nasiri, Jiayi Shou, Alex J Noble, Tristan Bepler
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Self-Supervised Latent Symmetry Discovery via Class-Pose Decomposition
Gustaf Tegnér, Hedvig Kjellstrom
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
INRFormer: Neuron Permutation Equivariant Transformer on Implicit Neural Representations
Lei Zhou, Varun Belagali, Joseph Bae, Prateek Prasanna, Dimitris Samaras
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Quantifying Lie Group Learning with Local Symmetry Error
Vasco Portilheiro
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
The Variability of Representations in Mice and Humans Changes with Learning, Engagement, and Attention
Praveen Venkatesh, Corbett C Bennett, Sam Gale, Juri Minxha, Hristos Courellis, Greggory Robert Heller, Tamina Keira Ramirez, Severine Durand, Ueli Rutishauser, Shawn R Olsen, Stefan Mihalas
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Distance Learner: Incorporating Manifold Prior to Model Training
Aditya Chetan, Nipun Kwatra
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity
Christopher Versteeg, Andrew Sedler, Jonathan McCart, Chethan Pandarinath
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Oral
- Readers: Everyone
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds.
Daniel Kelshaw, Luca Magri
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang, Jung Yeon Park, Neel Sortur, Lawson Wong, Robin Walters, Robert Platt
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Grokking in recurrent networks with attractive and oscillatory dynamics
Keith Murray
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone
Growing Brains in Recurrent Neural Networks for Multiple Cognitive Tasks
Ziming Liu, Mikail Khona, Ila Fiete, Max Tegmark
- Published: 29 Nov 2023, Last Modified: 29 Nov 2023
- NeurReps 2023 Poster
- Readers: Everyone