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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"

50 / 326 papers shown

Title
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 88 37 0 14 Apr 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 82 27 0 11 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 58 3 0 09 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 74 6 0 22 Feb 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 63 0 0 19 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 95 42 0 15 Feb 2022
A Theory of PAC Learnability under Transformation Invariances Hang Shao Omar Montasser Avrim Blum 80 21 0 15 Feb 2022
Equivariance versus Augmentation for Spherical Images Jan E. Gerken Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson 3DPC 82 19 0 08 Feb 2022
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 120 38 0 01 Feb 2022
Equivariant neural networks for recovery of Hadamard matrices A. Peres E. Dias Luís Sarmento Hugo Penedones 33 0 0 31 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin Walters Rose Yu 123 82 0 28 Jan 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 136 1,299 0 14 Jan 2022
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 65 0 0 17 Dec 2021
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 88 55 0 14 Dec 2021
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 90 13 0 02 Dec 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image Joshua Mitton Chaitanya Kaul Roderick Murray-Smith 3DH 82 0 0 25 Nov 2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 44 2 0 25 Nov 2021
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 87 64 0 25 Nov 2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups Hugo Aguettaz Erik J. Bekkers M. Defferrard GNN 20 1 0 23 Nov 2021
Enabling equivariance for arbitrary Lie groups L. MacDonald Sameera Ramasinghe Simon Lucey AAML 71 25 0 16 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 46 1 0 02 Nov 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei Chen Jia Zhang Tie-Yan Liu 122 84 0 26 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan 64 5 0 14 Oct 2021
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 119 15 0 12 Oct 2021
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions Nicholas Gao Stephan Günnemann 86 40 0 11 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 133 180 0 06 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 120 244 0 06 Oct 2021
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 57 1 0 05 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 148 35 0 05 Oct 2021
CLIPort: What and Where Pathways for Robotic Manipulation Mohit Shridhar Lucas Manuelli Dieter Fox LM&Ro 154 661 0 24 Sep 2021
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations Grecia Castelazo Quynh T. Nguyen Giacomo De Palma Dirk Englund S. Lloyd B. Kiani 96 11 0 23 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks M. H. Lim Andy Zeng Brian Ichter Maryam Bandari Erwin Coumans Claire Tomlin S. Schaal Aleksandra Faust 65 15 0 15 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 171 88 0 15 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 123 142 0 09 Sep 2021
Learning to Discover Reflection Symmetry via Polar Matching Convolution Ahyun Seo Woohyeon Shim Minsu Cho SSL 60 8 0 30 Aug 2021
Internal Video Inpainting by Implicit Long-range Propagation Hao Ouyang Tengfei Wang Qifeng Chen 81 37 0 04 Aug 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions Qi Xie Qian Zhao Zongben Xu Deyu Meng 87 22 0 30 Jul 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 45 1 0 26 Jul 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 142 308 0 26 Jul 2021
Transporting Causal Mechanisms for Unsupervised Domain Adaptation Zhongqi Yue Qianru Sun Xiansheng Hua Hanwang Zhang CML 139 56 0 23 Jul 2021
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations Minghan Zhu Maani Ghaffari H. Peng 3DPC 114 36 0 21 Jul 2021
A Bayesian Approach to Invariant Deep Neural Networks Nikolaos Mourdoukoutas Marco Federici G. Pantalos Mark van der Wilk Vincent Fortuin BDL UQCV 37 0 0 20 Jul 2021
Equivariant Manifold Flows Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 72 25 0 19 Jul 2021
Universal approximation and model compression for radial neural networks I. Ganev Twan van Laarhoven Robin Walters 88 10 0 06 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 109 69 0 02 Jul 2021
Lossy Compression for Lossless Prediction Yann Dubois Benjamin Bloem-Reddy Karen Ullrich Chris J. Maddison 137 62 0 21 Jun 2021
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 80 29 0 18 Jun 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios Alessandro Favero Francesco Cagnetta Matthieu Wyart 102 31 0 16 Jun 2021
Category Theory in Machine Learning Dan Shiebler Bruno Gavranović Paul W. Wilson 60 31 0 13 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 91 19 0 12 Jun 2021