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Covariance in Physics and Convolutional Neural Networks

Covariance in Physics and Convolutional Neural Networks

6 June 2019
Miranda C. N. Cheng
V. Anagiannis
Maurice Weiler
P. D. Haan
Taco S. Cohen
Max Welling
ArXivPDFHTML

Papers citing "Covariance in Physics and Convolutional Neural Networks"

4 / 4 papers shown
Title
HEAL-SWIN: A Vision Transformer On The Sphere
HEAL-SWIN: A Vision Transformer On The Sphere
Oscar Carlsson
Jan E. Gerken
H. Linander
Heiner Spiess
F. Ohlsson
Christoffer Petersson
Daniel Persson
ViT
MedIm
29
6
0
14 Jul 2023
Computing equivariant matrices on homogeneous spaces for Geometric Deep
  Learning and Automorphic Lie Algebras
Computing equivariant matrices on homogeneous spaces for Geometric Deep Learning and Automorphic Lie Algebras
V. Knibbeler
30
1
0
13 Mar 2023
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
Stefan Sommer
A. Bronstein
17
11
0
13 Sep 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
162
308
0
05 Nov 2018
1