Symmetries in Overparametrized Neural Networks: A Mean-Field View

30 May 2024

Papers citing "Symmetries in Overparametrized Neural Networks: A Mean-Field View"

8 / 8 papers shown

Title
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 44 0 0 10 Feb 2025
Convex Analysis of the Mean Field Langevin Dynamics Atsushi Nitanda Denny Wu Taiji Suzuki MLT 55 63 0 25 Jan 2022
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
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
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 143 289 0 05 Nov 2018
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 51 114 0 02 May 2018