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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
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Approximately Equivariant Neural Processes
Approximately Equivariant Neural ProcessesNeural Information Processing Systems (NeurIPS), 2024
Matthew Ashman
Cristiana-Diana Diaconu
Adrian Weller
W. Bruinsma
Richard E. Turner
BDL
220
7
0
19 Jun 2024
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis
  functions
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions
Alireza Afzal Aghaei
259
97
0
11 Jun 2024
A unified Fourier slice method to derive ridgelet transform for a
  variety of depth-2 neural networks
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
547
6
0
25 Feb 2024
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
248
2
0
08 Jan 2023
Brauer's Group Equivariant Neural Networks
Brauer's Group Equivariant Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Edward Pearce-Crump
AI4CE
305
19
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
255
7
0
18 Oct 2022
On Non-Linear operators for Geometric Deep Learning
On Non-Linear operators for Geometric Deep LearningNeural Information Processing Systems (NeurIPS), 2022
G. Sergeant-Perthuis
Jakob Maier
Joan Bruna
Edouard Oyallon
278
4
0
06 Jul 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet
  Analysis on Groups
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on GroupsNeural Information Processing Systems (NeurIPS), 2022
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
197
12
0
30 May 2022
Design equivariant neural networks for 3D point cloud
Design equivariant neural networks for 3D point cloud
Thuan Trang
Thieu N. Vo
K. Nguyen
3DPC
204
0
0
02 May 2022
Approximation Properties of Deep ReLU CNNs
Approximation Properties of Deep ReLU CNNsResearch in the Mathematical Sciences (Res. Math. Sci.), 2021
Juncai He
Lin Li
Jinchao Xu
383
24
0
01 Sep 2021
Ghosts in Neural Networks: Existence, Structure and Role of
  Infinite-Dimensional Null Space
Ghosts in Neural Networks: Existence, Structure and Role of Infinite-Dimensional Null Space
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
BDL
227
9
0
09 Jun 2021
1
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