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Investigating how ReLU-networks encode symmetries

26 May 2023

Georg Bökman

Papers citing "Investigating how ReLU-networks encode symmetries"

24 / 24 papers shown

Title
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 77 8 0 05 Apr 2023
REPAIR: REnormalizing Permuted Activations for Interpolation Repair Keller Jordan Hanie Sedghi O. Saukh R. Entezari Behnam Neyshabur MoMe 71 99 0 15 Nov 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 290 335 0 11 Sep 2022
A case for using rotation invariant features in state of the art feature matchers Georg Bökman Fredrik Kahl 34 37 0 21 Apr 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 53 3 0 31 Jan 2022
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 58 20 0 30 Nov 2021
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks R. Entezari Hanie Sedghi O. Saukh Behnam Neyshabur MoMe 91 236 0 12 Oct 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 69 136 0 11 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 162 195 0 19 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 157 1,864 0 05 Apr 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,067 0 20 Nov 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 153 696 0 18 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 371 6,806 0 13 Jun 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed Gabriele Cesa Taco S. Cohen Max Welling MedIm 63 18 0 21 Apr 2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin MoMe 156 619 0 11 Dec 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 113 524 0 19 Nov 2019
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 70 174 0 10 Apr 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 95 973 0 22 Feb 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 92 388 0 20 Nov 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 155 1,076 0 26 Jun 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 415 2,464 0 10 Mar 2017
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 126 710 0 14 Dec 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 169 1,941 0 24 Feb 2016
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 112 533 0 21 Nov 2014