Learning Layer-wise Equivariances Automatically using Gradients

Learning Layer-wise Equivariances Automatically using Gradients

9 October 2023

Tycho F. A. van der Ouderaa

Alexander Immer

Mark van der Wilk

Papers citing "Learning Layer-wise Equivariances Automatically using Gradients"

11 / 11 papers shown

Title
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 40 2 0 23 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 32 2 0 18 Sep 2024
The LLM Surgeon Tycho F. A. van der Ouderaa Markus Nagel M. V. Baalen Yuki Markus Asano Tijmen Blankevoort 19 14 0 28 Dec 2023
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 19 6 0 28 Apr 2023
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 28 21 0 31 Aug 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 23 73 0 28 Jan 2022
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 73 80 0 15 Sep 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
Towards Learning Convolutions from Scratch Behnam Neyshabur SSL 211 70 0 27 Jul 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
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 193 14,190 0 07 Oct 2016