Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 392 papers shown

Title
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 20 27 0 18 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
Encoding Involutory Invariances in Neural Networks Anwesh Bhattacharya M. Mattheakis P. Protopapas 27 1 0 07 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 32 22 0 07 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 20 31 0 04 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 24 434 0 02 Jun 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 34 168 0 19 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 76 185 0 19 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 25 2 0 07 Apr 2021
Fast Jacobian-Vector Product for Deep Networks Randall Balestriero Richard Baraniuk 23 4 0 01 Apr 2021
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching Udit Singh Parihar Aniket Gujarathi K. Mehta Satyajit Tourani Sourav Garg Michael Milford K. M. Krishna 19 29 0 15 Mar 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection Jiaming Han Jian Ding Nan Xue Guisong Xia 19 518 0 13 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 33 8 0 13 Mar 2021
Perceiver: General Perception with Iterative Attention Andrew Jaegle Felix Gimeno Andrew Brock Andrew Zisserman Oriol Vinyals João Carreira VLM ViT MDE 50 973 0 04 Mar 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 23 48 0 02 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 24 6 0 01 Mar 2021
Principled Simplicial Neural Networks for Trajectory Prediction T. Roddenberry Nicholas Glaze Santiago Segarra 3DPC 24 91 0 19 Feb 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 30 978 0 19 Feb 2021
Input Similarity from the Neural Network Perspective Guillaume Charpiat N. Girard Loris Felardos Y. Tarabalka 16 67 0 10 Feb 2021
RoI Tanh-polar Transformer Network for Face Parsing in the Wild Yiming Lin Jie Shen Yujiang Wang M. Pantic CVBM ViT 26 48 0 04 Feb 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Y. Xu J. Yáñez S. Yoshida T. Yuan Z. Zhang 33 46 0 27 Jan 2021
Neural Network Approximations for Calabi-Yau Metrics Vishnu Jejjala D. M. Peña Challenger Mishra 26 51 0 31 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition Abdullah Hamdi Silvio Giancola Bernard Ghanem 3DV 3DPC 34 199 0 26 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 28 30 0 25 Nov 2020
Intrinsic Image Decomposition using Paradigms David A. Forsyth Jason Rock 25 24 0 20 Nov 2020
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis Ruixuan Yu Xin Wei Federico Tombari Jian Sun 3DPC 22 37 0 18 Nov 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin G. Walters Jinxi Li Rose Yu 26 43 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 32 53 0 21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 26 13 0 21 Oct 2020
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks M. Fenton Alexander Shmakov Ta-Wei Ho S. Hsu D. Whiteson Pierre Baldi 39 37 0 19 Oct 2020
Physical invariance in neural networks for subgrid-scale scalar flux modeling Hugo Frezat G. Balarac Julien Le Sommer Ronan Fablet Redouane Lguensat AI4CE 31 44 0 09 Oct 2020
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties Zeren Shui George Karypis 29 62 0 26 Sep 2020
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 166 39 0 25 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 25 73 0 07 Aug 2020
Wasserstein Routed Capsule Networks Alexander Fuchs Franz Pernkopf 24 7 0 22 Jul 2020
Online Invariance Selection for Local Feature Descriptors Rémi Pautrat Viktor Larsson Martin R. Oswald Marc Pollefeys 20 74 0 17 Jul 2020
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures Daniel Furrer Marc van Zee Nathan Scales Nathanael Scharli CoGe 13 113 0 17 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 28 155 0 30 Jun 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi-An Ma SSL 26 189 0 15 Jun 2020
Probably Approximately Correct Constrained Learning Luiz F. O. Chamon Alejandro Ribeiro 9 37 0 09 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 29 136 0 08 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning Aditya Sanghi 3DPC SSL 11 101 0 04 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 19 28 0 02 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 22 69 0 02 Jun 2020
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning Axel Barroso Laguna Yannick Verdié Benjamin Busam K. Mikolajczyk 19 18 0 12 May 2020