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Universal Approximation Theorem for Equivariant Maps by Group CNNs

Universal Approximation Theorem for Equivariant Maps by Group CNNs

27 December 2020
Wataru Kumagai
Akiyoshi Sannai
ArXivPDFHTML

Papers citing "Universal Approximation Theorem for Equivariant Maps by Group CNNs"

5 / 5 papers shown
Title
Equivariant and Steerable Neural Networks: A review with special
  emphasis on the symmetric group
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group
Patrick Krüger
Hanno Gottschalk
19
1
0
08 Jan 2023
Brauer's Group Equivariant Neural Networks
Brauer's Group Equivariant Neural Networks
Edward Pearce-Crump
AI4CE
13
15
0
16 Dec 2022
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data
  Processing in Classification Applications
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications
Hankyul Baek
Won Joon Yun
Joongheon Kim
3DPC
13
4
0
18 Oct 2022
Universal Equivariant Multilayer Perceptrons
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
98
48
0
07 Feb 2020
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