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

11 February 2018

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

20 / 320 papers shown

Title
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction Xavier Brumwell Paul Sinz K. Kim Y. Qi M. Hirn 14 8 0 21 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 153 308 0 05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 18 169 0 29 Oct 2018
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 22 40 0 04 Oct 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data Rudrasis Chakraborty Jose J. Bouza J. Manton B. Vemuri 11 16 0 11 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 10 1 0 30 Aug 2018
Deep Learning of Vortex Induced Vibrations M. Raissi Zhicheng Wang M. Triantafyllou George Karniadakis AI4CE 9 368 0 26 Aug 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 21 494 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 23 264 0 24 Jun 2018
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 AI4CE NAI 91 3,077 0 04 Jun 2018
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 9 38 0 29 May 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds Stefan C. Schonsheck Bin Dong Rongjie Lai 24 22 0 21 May 2018
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging Rudrasis Chakraborty Monami Banerjee B. Vemuri 11 9 0 14 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 10 141 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 19 107 0 12 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 25 46 0 28 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials Risi Kondor AI4CE 24 106 0 05 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 22 939 0 22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations Beranger Dumont Simona Maggio Pablo Montalvo AAML 8 23 0 19 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