A tradeoff between universality of equivariant models and learnability of symmetries

17 October 2022

Papers citing "A tradeoff between universality of equivariant models and learnability of symmetries"

8 / 8 papers shown

Title
Approximately Equivariant Graph Networks Ningyuan Huang Ron Levie Soledad Villar 29 18 0 21 Aug 2023
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 9 26 0 02 Apr 2022
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 27 14 0 12 Oct 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 73 80 0 15 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 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
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 90 48 0 07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018