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On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
v1v2v3 (latest)

On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

11 February 2018
Risi Kondor
Shubhendu Trivedi
    MLT
ArXiv (abs)PDFHTML

Papers citing "On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups"

26 / 326 papers shown
Title
Reducing the dilution: An analysis of the information sensitiveness of
  capsule network with a practical improvement method
Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical improvement method
Zonglin Yang
Xinggang Wang
AAML
54
5
0
25 Mar 2019
Equivariant Entity-Relationship Networks
Equivariant Entity-Relationship Networks
Devon R. Graham
Junhao Wang
Siamak Ravanbakhsh
62
8
0
21 Mar 2019
Universal approximations of permutation invariant/equivariant functions
  by deep neural networks
Universal approximations of permutation invariant/equivariant functions by deep neural networks
Akiyoshi Sannai
Yuuki Takai
Matthieu Cordonnier
88
68
0
05 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
130
414
0
11 Feb 2019
On the Universality of Invariant Networks
On the Universality of Invariant Networks
Haggai Maron
Ethan Fetaya
Nimrod Segol
Y. Lipman
OOD
185
240
0
27 Jan 2019
Invariant and Equivariant Graph Networks
Invariant and Equivariant Graph Networks
Haggai Maron
Heli Ben-Hamu
Nadav Shamir
Y. Lipman
166
508
0
24 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings
Cross-Domain 3D Equivariant Image Embeddings
Carlos Esteves
Avneesh Sud
Zhengyi Luo
Kostas Daniilidis
A. Makadia
3DPC
78
22
0
06 Dec 2018
Steerable Wavelet Scattering for 3D Atomic Systems with Application to
  Li-Si Energy Prediction
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction
Xavier Brumwell
Paul Sinz
K. Kim
Y. Qi
M. Hirn
46
8
0
21 Nov 2018
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
MLTAI4CE
253
316
0
05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
102
172
0
29 Oct 2018
Learning Compressed Transforms with Low Displacement Rank
Learning Compressed Transforms with Low Displacement Rank
Anna T. Thomas
Albert Gu
Tri Dao
Atri Rudra
Christopher Ré
101
40
0
04 Oct 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data
ManifoldNet: A Deep Network Framework for Manifold-valued Data
Rudrasis Chakraborty
Jose J. Bouza
J. Manton
B. Vemuri
52
16
0
11 Sep 2018
Discriminative Learning of Similarity and Group Equivariant
  Representations
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
29
1
0
30 Aug 2018
Deep Learning of Vortex Induced Vibrations
Deep Learning of Vortex Induced Vibrations
M. Raissi
Zhicheng Wang
M. Triantafyllou
George Karniadakis
AI4CE
81
378
0
26 Aug 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
146
508
0
06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
93
272
0
24 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
801
3,129
0
04 Jun 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive
  Definite Matrices
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Rudrasis Chakraborty
Chun-Hao Yang
Xingjian Zhen
Monami Banerjee
Derek B. Archer
David E Vaillancourt
Vikas Singh
B. Vemuri
62
38
0
29 May 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural
  Networks on Manifolds
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds
Stefan C. Schonsheck
Bin Dong
Rongjie Lai
42
22
0
21 May 2018
A CNN for homogneous Riemannian manifolds with applications to
  Neuroimaging
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging
Rudrasis Chakraborty
Monami Banerjee
B. Vemuri
45
10
0
14 May 2018
CubeNet: Equivariance to 3D Rotation and Translation
CubeNet: Equivariance to 3D Rotation and Translation
Daniel E. Worrall
Gabriel J. Brostow
3DPC
93
143
0
12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection
3D G-CNNs for Pulmonary Nodule Detection
M. Winkels
Taco S. Cohen
MedIm3DPC
80
107
0
12 Apr 2018
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)
Taco S. Cohen
Mario Geiger
Maurice Weiler
74
47
0
28 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture
  for Learning Atomic Potentials
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials
Risi Kondor
AI4CE
95
108
0
05 Mar 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
135
980
0
22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Beranger Dumont
Simona Maggio
Pablo Montalvo
AAML
69
24
0
19 Feb 2018
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