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Gauge Equivariant Convolutional Networks and the Icosahedral CNN

11 February 2019

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

45 / 45 papers shown

Title
Symmetry-Breaking Descent for Invariant Cost Functionals Mikhail Osipov 62 0 0 19 May 2025
OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable Capabilities Suyoung Lee Jaeyoung Chung Kihoon Kim Jaeyoo Huh G. Lee Minsoo Lee Kyoung Mu Lee 3DGS 150 0 0 21 Dec 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 106 3 0 23 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 134 2 0 18 Sep 2024
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 73 25 0 27 May 2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction Hao Wu Wei Xion Fan Xu Xian-Sheng Hua C. L. Philip Chen Xiansheng Hua AI4TS 191 31 0 19 May 2023
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 86 13 0 02 Dec 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 160 88 0 15 Sep 2021
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 218 395 0 16 Jun 2020
Spherical CNNs on Unstructured Grids Chiyu “Max” Jingwei Huang K. Kashinath Lawrence Berkeley Nat’l Lab P. Marcus Matthias Niessner 83 183 0 07 Jan 2019
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 143 508 0 24 Dec 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 220 316 0 05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 93 171 0 29 Oct 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution A. Poulenard M. Ovsjanikov 3DH 47 91 0 01 Oct 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 116 507 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 81 272 0 24 Jun 2018
Rotation Equivariant CNNs for Digital Pathology Bastiaan S. Veeling J. Linmans Jim Winkens Taco S. Cohen Max Welling 116 584 0 08 Jun 2018
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
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 79 143 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 71 107 0 12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 72 174 0 10 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 66 47 0 28 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 156 158 0 07 Mar 2018
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 98 978 0 22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 114 500 0 11 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 164 907 0 30 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 88 168 0 07 Jan 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 96 388 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 111 515 0 17 Nov 2017
Learning Spherical Convolution for Fast Features from 360° Imagery Yu-Chuan Su Kristen Grauman 3DPC 65 104 0 02 Aug 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 421 2,480 0 10 Mar 2017
Equivariance Through Parameter-Sharing Siamak Ravanbakhsh J. Schneider Barnabás Póczós 92 258 0 27 Feb 2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 169 889 0 03 Feb 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 66 270 0 29 Dec 2016
Steerable CNNs Taco S. Cohen Max Welling BDL 142 499 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 128 711 0 14 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 813 3,298 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 665 29,156 0 09 Sep 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 184 509 0 20 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 171 1,946 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,347 0 11 Feb 2015
Deep Roto-Translation Scattering for Object Classification Edouard Oyallon S. Mallat 80 232 0 30 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 230 4,884 0 21 Dec 2013