Implicit Bias of Linear Equivariant Networks

Implicit Bias of Linear Equivariant Networks

12 October 2021

Hannah Lawrence

Kristian Georgiev

Papers citing "Implicit Bias of Linear Equivariant Networks"

11 / 11 papers shown

Title
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 57 0 0 10 Feb 2025
A Universal Class of Sharpness-Aware Minimization Algorithms B. Tahmasebi Ashkan Soleymani Dara Bahri Stefanie Jegelka P. Jaillet AAML 49 2 0 06 Jun 2024
The Exact Sample Complexity Gain from Invariances for Kernel Regression B. Tahmasebi Stefanie Jegelka 28 17 0 24 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks Axel Flinth F. Ohlsson 41 5 0 23 Mar 2023
On the Implicit Bias of Linear Equivariant Steerable Networks Ziyu Chen Wei-wei Zhu 29 3 0 07 Mar 2023
Towards fully covariant machine learning Soledad Villar D. Hogg Weichi Yao George A. Kevrekidis Bernhard Schölkopf AI4CE 38 10 0 31 Jan 2023
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 27 2 0 17 Oct 2022
Testing predictions of representation cost theory with CNNs Charles Godfrey Elise Bishoff Myles Mckay Davis Brown Grayson Jorgenson Henry Kvinge E. Byler 24 0 0 03 Oct 2022
Machine learning and invariant theory Ben Blum-Smith Soledad Villar AI4CE 31 16 0 29 Sep 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 36 32 0 10 Mar 2022
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018