Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 502 papers shown

Title
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 33 12 0 02 Dec 2021
Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids Peter Bjørn Jørgensen Arghya Bhowmik 16 36 0 01 Dec 2021
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding Abdullah Hamdi Silvio Giancola Guohao Li 3DPC 27 23 0 30 Nov 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 31 19 0 30 Nov 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 36 4 0 28 Nov 2021
Group equivariant neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Michael Deistler Bernhard Schölkopf Jakob H. Macke BDL 33 31 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 25 60 0 25 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 32 8 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Enabling equivariance for arbitrary Lie groups L. MacDonald Sameera Ramasinghe Simon Lucey AAML 27 25 0 16 Nov 2021
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking O. Ganea Xinyuan Huang Charlotte Bunne Yatao Bian Regina Barzilay Tommi Jaakkola Andreas Krause 36 152 0 15 Nov 2021
Lattice gauge symmetry in neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 21 0 0 08 Nov 2021
Resampling and super-resolution of hexagonally sampled images using deep learning Dylan Flaute R. Hardie Hamed Elwarfalli SupR 47 1 0 03 Nov 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin Walters Xu Zhu Robert Platt 29 73 0 28 Oct 2021
Equivariant Contrastive Learning Rumen Dangovski Li Jing Charlotte Loh Seung-Jun Han Akash Srivastava Brian Cheung Pulkit Agrawal Marin Soljacic 47 77 0 28 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 26 32 0 28 Oct 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 61 82 0 26 Oct 2021
Rotation Equivariant Deforestation Segmentation and Driver Classification Joshua Mitton Roderick Murray-Smith 19 7 0 25 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations Roy Miles K. Mikolajczyk 31 0 0 25 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 37 17 0 15 Oct 2021
Analysis of the first Genetic Engineering Attribution Challenge O. Crook K. L. Warmbrod G. Lipstein Christine Chung Christopher W. Bakerlee ... Shelly R. Holland Jacob Swett K. Esvelt E. C. Alley W. Bradshaw 21 9 0 14 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 18 5 0 14 Oct 2021
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 45 14 0 12 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 Oct 2021
A simple equivariant machine learning method for dynamics based on scalars Weichi Yao Kate Storey-Fisher D. Hogg Soledad Villar AI4CE 44 9 0 07 Oct 2021
Generalization in Deep RL for TSP Problems via Equivariance and Local Search Wenbin Ouyang Yisen Wang Paul Weng Shaochen Han LRM 69 13 0 07 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 65 177 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 44 231 0 06 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 43 39 0 05 Oct 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training Valerio Biscione J. Bowers 56 13 0 04 Oct 2021
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning Ziming Liu Yunyue Chen Yuanqi Du Max Tegmark PINN AI4CE 40 22 0 28 Sep 2021
CLIPort: What and Where Pathways for Robotic Manipulation Mohit Shridhar Lucas Manuelli Dieter Fox LM&Ro 65 633 0 24 Sep 2021
Machine-learning hidden symmetries Ziming Liu Max Tegmark 48 52 0 20 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 42 14 0 15 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 43 3 0 14 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 138 0 09 Sep 2021
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 46 38 0 03 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan Liu Zhen Dong Wenping Wang 3DPC 43 124 0 01 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 35 4 0 31 Aug 2021
Dead Pixel Test Using Effective Receptive Field Bum Jun Kim Hyeyeon Choi Hyeonah Jang Dong Gu Lee Wonseok Jeong Sang Woo Kim 27 25 0 31 Aug 2021
Learning to Discover Reflection Symmetry via Polar Matching Convolution Ahyun Seo Woohyeon Shim Minsu Cho SSL 24 8 0 30 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 32 71 0 26 Aug 2021
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs Md. Amirul Islam M. Kowal Sen Jia Konstantinos G. Derpanis Neil D. B. Bruce 26 27 0 17 Aug 2021
Sample Observed Effects: Enumeration, Randomization and Generalization Andre F. Ribeiro CML 21 4 0 09 Aug 2021
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images Juan P. Vigueras-Guillén Joan Lasenby F. Seeliger OOD MedIm 25 2 0 05 Aug 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions Qi Xie Qian Zhao Zongben Xu Deyu Meng 27 19 0 30 Jul 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 36 1 0 26 Jul 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 48 289 0 26 Jul 2021