A topological model for partial equivariance in deep learning and data analysis

25 August 2023

Papers citing "A topological model for partial equivariance in deep learning and data analysis"

4 / 4 papers shown

Title
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 27 73 0 28 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,103 0 27 Apr 2021
On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators Pasquale Cascarano Patrizio Frosini Nicola Quercioli A. Saki 22 3 0 03 Mar 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,234 0 24 Nov 2016