Approximation-Generalization Trade-offs under (Approximate) Group Equivariance

27 May 2023

Papers citing "Approximation-Generalization Trade-offs under (Approximate) Group Equivariance"

22 / 22 papers shown

Title
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL Joshua McClellan Greyson Brothers Furong Huang Pratap Tokekar 44 0 0 19 Mar 2025
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka P. Jaillet 63 0 0 27 Feb 2025
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 19 1 0 06 Nov 2024
Does equivariance matter at scale? Johann Brehmer S. Behrends P. D. Haan Taco S. Cohen 29 10 0 30 Oct 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 40 2 0 23 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 32 2 0 18 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 35 3 0 23 Aug 2024
Approximately Equivariant Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller W. Bruinsma Richard E. Turner BDL 24 1 0 19 Jun 2024
Learning equivariant tensor functions with applications to sparse vector recovery Wilson Gregory Josué Tonelli-Cueto Nicholas F. Marshall Andrew S. Lee Soledad Villar 27 1 0 03 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 26 0 0 03 Jun 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Martínez Joaquin Fontbona FedML MLT 26 2 0 30 May 2024
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 19 6 0 19 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 22 9 0 03 Oct 2023
Approximately Equivariant Graph Networks Ningyuan Huang Ron Levie Soledad Villar 16 18 0 21 Aug 2023
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 44 84 0 08 Feb 2023
Towards fully covariant machine learning Soledad Villar D. Hogg Weichi Yao George A. Kevrekidis Bernhard Schölkopf AI4CE 22 10 0 31 Jan 2023
Sample Efficient Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Ondrej Biza Guanang Su Robin G. Walters Robert W. Platt DRL 81 66 0 18 Feb 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 23 73 0 28 Jan 2022
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 44 89 0 25 Feb 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 181 217 0 16 Mar 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 143 289 0 05 Nov 2018