Computing equivariant matrices on homogeneous spaces for Geometric Deep Learning and Automorphic Lie Algebras

13 March 2023

Papers citing "Computing equivariant matrices on homogeneous spaces for Geometric Deep Learning and Automorphic Lie Algebras"

4 / 4 papers shown

Title
Equivariant Manifold Neural ODEs and Differential Invariants Emma Andersdotter Fredrik Ohlsson 26 0 0 25 Jan 2024
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 73 185 0 19 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 151 308 0 05 Nov 2018