Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network

24 June 2018

Papers citing "Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network"

33 / 183 papers shown

Title
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis Valentin Oreiller Vincent Andrearczyk Julien Fageot John O. Prior A. Depeursinge 14 1 0 28 Apr 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 21 41 0 10 Apr 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong Son-Hy Risi Kondor 24 35 0 08 Apr 2020
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 16 10 0 30 Mar 2020
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning Marcel F. Langer Alex Goessmann M. Rupp AI4CE 23 92 0 26 Mar 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet A. Depeursinge 37 23 0 19 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 49 847 0 06 Mar 2020
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications Jose J. Bouza Chun-Hao Yang David E Vaillancourt B. Vemuri 11 4 0 02 Mar 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations So Takamoto S. Izumi Ju Li GNN 21 76 0 02 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 13 8 0 30 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 31 501 0 19 Nov 2019
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan" J. Amundson J. Annis Camille Avestruz D. Bowring J. Caldeira ... N. Tran S. Trivedi L. Trouille W. L. K. Wu C. Bom 15 11 0 05 Nov 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 20 38 0 25 Jul 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong Son-Hy Risi Kondor 22 421 0 06 Jun 2019
Invariant Feature Coding using Tensor Product Representation Yusuke Mukuta Tatsuya Harada 24 0 0 05 Jun 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 13 166 0 28 May 2019
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds Michael Perlmutter Feng Gao Guy Wolf M. Hirn 11 13 0 24 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 25 20 0 12 May 2019
Equivariant Multi-View Networks Carlos Esteves Yinshuang Xu Christine Allen-Blanchette Kostas Daniilidis 3DPC 11 98 0 01 Apr 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 11 8 0 21 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 40 402 0 11 Feb 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 19 49 0 27 Dec 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 20 169 0 29 Oct 2018
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks J. Caldeira W. L. K. Wu Brian D. Nord Camille Avestruz Shubhendu Trivedi K. Story 25 63 0 02 Oct 2018
Labeling Panoramas with Spherical Hourglass Networks Carlos Esteves Kostas Daniilidis A. Makadia 11 3 0 06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 21 1 0 30 Aug 2018
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
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 16 96 0 07 Jun 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 45 487 0 11 Feb 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016