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Gauge Equivariant Convolutional Networks and the Icosahedral CNN
v1v2v3 (latest)

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

International Conference on Machine Learning (ICML), 2019
11 February 2019
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
ArXiv (abs)PDFHTML

Papers citing "Gauge Equivariant Convolutional Networks and the Icosahedral CNN"

26 / 276 papers shown
Title
Roto-Translation Equivariant Convolutional Networks: Application to
  Histopathology Image Analysis
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge
Erik J. Bekkers
J. Pluim
R. Duits
M. Veta
MedIm
238
82
0
20 Feb 2020
On Learning Sets of Symmetric Elements
On Learning Sets of Symmetric ElementsInternational Conference on Machine Learning (ICML), 2020
Haggai Maron
Or Litany
Gal Chechik
Ethan Fetaya
301
144
0
20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved
  Generalization
Incorporating Symmetry into Deep Dynamics Models for Improved GeneralizationInternational Conference on Learning Representations (ICLR), 2020
Rui Wang
Robin Walters
Rose Yu
AI4CE
438
198
0
08 Feb 2020
Universal Equivariant Multilayer Perceptrons
Universal Equivariant Multilayer PerceptronsInternational Conference on Machine Learning (ICML), 2020
Siamak Ravanbakhsh
349
55
0
07 Feb 2020
Attentive Group Equivariant Convolutional Networks
Attentive Group Equivariant Convolutional NetworksInternational Conference on Machine Learning (ICML), 2020
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
294
96
0
07 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point CloudsEuropean Conference on Computer Vision (ECCV), 2019
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas Guibas
Federico Tombari
3DPC
405
92
0
27 Dec 2019
Tangent Images for Mitigating Spherical Distortion
Tangent Images for Mitigating Spherical DistortionComputer Vision and Pattern Recognition (CVPR), 2019
Marc Eder
Mykhailo Shvets
John Lim
Jan-Michael Frahm
201
123
0
19 Dec 2019
General $E(2)$-Equivariant Steerable CNNs
General E(2)E(2)E(2)-Equivariant Steerable CNNsNeural Information Processing Systems (NeurIPS), 2019
Maurice Weiler
Gabriele Cesa
386
607
0
19 Nov 2019
Affine Self Convolution
Affine Self Convolution
Nichita Diaconu
Daniel E. Worrall
93
3
0
18 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On
  Transformations Co-Occurring In Data
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In DataInternational Conference on Learning Representations (ICLR), 2019
David W. Romero
Mark Hoogendoorn
153
24
0
18 Nov 2019
Scale-Equivariant Steerable Networks
Scale-Equivariant Steerable NetworksInternational Conference on Learning Representations (ICLR), 2019
Li Xiao
Michal Szmaja
A. Smeulders
258
160
0
14 Oct 2019
B-Spline CNNs on Lie Groups
B-Spline CNNs on Lie GroupsInternational Conference on Learning Representations (ICLR), 2019
Erik J. Bekkers
AI4CE
535
146
0
26 Sep 2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in
  Spatiotemporal Systems
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal SystemsWorkshop on Machine Learning in High Performance Computing Environments (LHPCE), 2019
Adam T. Rupe
Nalini Kumar
V. Epifanov
K. Kashinath
O. Pavlyk
...
M. Patwary
Sergey Maidanov
Victor W. Lee
M. Prabhat
James P. Crutchfield
AI4CE
99
19
0
25 Sep 2019
Towards Unsupervised Segmentation of Extreme Weather Events
Towards Unsupervised Segmentation of Extreme Weather Events
Adam T. Rupe
K. Kashinath
Nalini Kumar
Victor W. Lee
P. Prabhat
James P. Crutchfield
81
3
0
16 Sep 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
Horizontal Flows and Manifold Stochastics in Geometric Deep LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Stefan Sommer
A. Bronstein
215
11
0
13 Sep 2019
Orientation-aware Semantic Segmentation on Icosahedron Spheres
Orientation-aware Semantic Segmentation on Icosahedron SpheresIEEE International Conference on Computer Vision (ICCV), 2019
Chao Zhang
Stephan Liwicki
William A. P. Smith
R. Cipolla
180
88
0
30 Jul 2019
On the "steerability" of generative adversarial networks
On the "steerability" of generative adversarial networksInternational Conference on Learning Representations (ICLR), 2019
Ali Jahanian
Lucy Chai
Phillip Isola
GANOOD
317
415
0
16 Jul 2019
Stand-Alone Self-Attention in Vision Models
Stand-Alone Self-Attention in Vision ModelsNeural Information Processing Systems (NeurIPS), 2019
Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
VLMSLRViT
340
1,317
0
13 Jun 2019
Cormorant: Covariant Molecular Neural Networks
Cormorant: Covariant Molecular Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Brandon M. Anderson
Truong-Son Hy
Risi Kondor
393
465
0
06 Jun 2019
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
188
18
0
06 Jun 2019
Incidence Networks for Geometric Deep Learning
Incidence Networks for Geometric Deep LearningInternational Conference on Machine Learning (ICML), 2019
Marjan Albooyeh
Daniele Bertolini
Siamak Ravanbakhsh
GNN
118
27
0
27 May 2019
Equivariant Multi-View Networks
Equivariant Multi-View Networks
Carlos Esteves
Yinshuang Xu
Christine Allen-Blanchette
Kostas Daniilidis
3DPC
216
105
0
01 Apr 2019
Equivariant Entity-Relationship Networks
Equivariant Entity-Relationship Networks
Devon R. Graham
Junhao Wang
Siamak Ravanbakhsh
182
8
0
21 Mar 2019
Surface Networks via General Covers
Surface Networks via General Covers
Niv Haim
Nimrod Segol
Heli Ben-Hamu
Haggai Maron
Y. Lipman
3DPC
277
52
0
27 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike
  Local Tangent Space Estimation
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation
Zhiyu Sun
Ethan Rooke
Jerome Charton
Yusen He
Jia Lu
Stephen Seung-Yeob Baek
317
22
0
03 Dec 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
519
341
0
05 Nov 2018
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