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Intertwiners between Induced Representations (with Applications to the
  Theory of Equivariant Neural Networks)

Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)

28 March 2018
Taco S. Cohen
Mario Geiger
Maurice Weiler
ArXivPDFHTML

Papers citing "Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)"

14 / 14 papers shown
Title
Neural Fourier Transform: A General Approach to Equivariant
  Representation Learning
Neural Fourier Transform: A General Approach to Equivariant Representation Learning
Masanori Koyama
Kenji Fukumizu
Kohei Hayashi
Takeru Miyato
27
8
0
29 May 2023
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
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and
  Group Convolution
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution
A. Poulenard
M. Ovsjanikov
Leonidas J. Guibas
3DPC
30
2
0
29 Nov 2022
E2PN: Efficient SE(3)-Equivariant Point Network
E2PN: Efficient SE(3)-Equivariant Point Network
Minghan Zhu
Maani Ghaffari
W. A. Clark
Huei Peng
3DPC
16
18
0
11 Jun 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning
Reflection and Rotation Symmetry Detection via Equivariant Learning
Ahyun Seo
Byungjin Kim
Suha Kwak
Minsu Cho
16
15
0
31 Mar 2022
Covariance in Physics and Convolutional Neural Networks
Covariance in Physics and Convolutional Neural Networks
Miranda C. N. Cheng
V. Anagiannis
Maurice Weiler
P. D. Haan
Taco S. Cohen
Max Welling
40
18
0
06 Jun 2019
Discrete Rotation Equivariance for Point Cloud Recognition
Discrete Rotation Equivariance for Point Cloud Recognition
Jiaxin Li
Yingcai Bi
Gim Hee Lee
3DPC
19
24
0
31 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations
  by Autoencoding Variational Transformations
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi
Liheng Zhang
Chang Wen Chen
Qi Tian
DRL
13
42
0
23 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
38
402
0
11 Feb 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
156
308
0
05 Nov 2018
Explorations in Homeomorphic Variational Auto-Encoding
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDL
DRL
25
116
0
12 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
45
494
0
06 Jul 2018
3D G-CNNs for Pulmonary Nodule Detection
3D G-CNNs for Pulmonary Nodule Detection
M. Winkels
Taco S. Cohen
MedIm
3DPC
22
107
0
12 Apr 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
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
22
939
0
22 Feb 2018
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