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Automatic Symmetry Discovery with Lie Algebra Convolutional Network

Automatic Symmetry Discovery with Lie Algebra Convolutional Network

15 September 2021
Nima Dehmamy
Robin Walters
Yanchen Liu
Dashun Wang
Rose Yu
    AI4CE
ArXivPDFHTML

Papers citing "Automatic Symmetry Discovery with Lie Algebra Convolutional Network"

29 / 29 papers shown
Title
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Yana Lishkova
P. Scherer
Steffen Ridderbusch
M. Jamnik
Pietro Lio
Sina Ober-Blobaum
Christian Offen
PINN
91
8
0
28 Jan 2025
On the Fourier analysis in the SO(3) space : EquiLoPO Network
On the Fourier analysis in the SO(3) space : EquiLoPO Network
Dmitrii Zhemchuzhnikov
Sergei Grudinin
80
0
0
24 Apr 2024
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
352
1,148
0
27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
160
195
0
19 Apr 2021
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning
  Dynamics
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
141
79
0
08 Dec 2020
Learning Invariances in Neural Networks
Learning Invariances in Neural Networks
Gregory W. Benton
Marc Finzi
Pavel Izmailov
A. Wilson
72
70
0
22 Oct 2020
Meta-Learning Symmetries by Reparameterization
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
79
95
0
06 Jul 2020
Disentangling by Subspace Diffusion
Disentangling by Subspace Diffusion
David Pfau
I. Higgins
Aleksandar Botev
S. Racanière
DiffM
DRL
39
37
0
23 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics
Lorentz Group Equivariant Neural Network for Particle Physics
A. Bogatskiy
Brandon M. Anderson
Jan T. Offermann
M. Roussi
David W. Miller
Risi Kondor
AI4CE
66
137
0
08 Jun 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie
  Groups on Arbitrary Continuous Data
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
118
323
0
25 Feb 2020
On Learning Sets of Symmetric Elements
On Learning Sets of Symmetric Elements
Haggai Maron
Or Litany
Gal Chechik
Ethan Fetaya
58
135
0
20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved
  Generalization
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang
Robin Walters
Rose Yu
AI4CE
111
175
0
08 Feb 2020
Universal Equivariant Multilayer Perceptrons
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
131
51
0
07 Feb 2020
General $E(2)$-Equivariant Steerable CNNs
General E(2)E(2)E(2)-Equivariant Steerable CNNs
Maurice Weiler
Gabriele Cesa
113
524
0
19 Nov 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
100
412
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
210
314
0
05 Nov 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
100
504
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
79
268
0
24 Jun 2018
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
156
158
0
07 Mar 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
112
498
0
11 Feb 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
154
903
0
30 Jan 2018
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
92
387
0
20 Nov 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,443
0
04 Apr 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
405
2,463
0
10 Mar 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
83
257
0
27 Feb 2017
Harmonic Networks: Deep Translation and Rotation Equivariance
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
126
710
0
14 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
617
29,051
0
09 Sep 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
169
1,934
0
24 Feb 2016
An Unsupervised Algorithm For Learning Lie Group Transformations
An Unsupervised Algorithm For Learning Lie Group Transformations
Jascha Narain Sohl-Dickstein
Jimmy C. Wang
Bruno A. Olshausen
118
49
0
07 Jan 2010
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