Optimization Dynamics of Equivariant and Augmented Neural Networks

23 March 2023

Papers citing "Optimization Dynamics of Equivariant and Augmented Neural Networks"

12 / 12 papers shown

Title
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 42 0 0 10 Feb 2025
Ensembles provably learn equivariance through data augmentation Oskar Nordenfors Axel Flinth MLT 13 3 0 02 Oct 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Martínez Joaquin Fontbona FedML MLT 23 2 0 30 May 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 26 1 0 28 May 2024
Emergent Equivariance in Deep Ensembles Jan E. Gerken Pan Kessel UQCV MDE 14 6 0 05 Mar 2024
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 22 14 0 12 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 1,095 0 27 Apr 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 96 264 0 25 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
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 44 89 0 25 Feb 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 143 289 0 05 Nov 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016