Lie Group Decompositions for Equivariant Neural Networks

17 October 2023

Papers citing "Lie Group Decompositions for Equivariant Neural Networks"

9 / 9 papers shown

Title
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 71 0 0 02 Jan 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 34 1 0 03 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 42 2 0 18 Sep 2024
Affine steerers for structured keypoint description Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 29 2 0 26 Aug 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 28 0 0 29 May 2024
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 33 1 0 06 Oct 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018