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A General Theory of Correct, Incorrect, and Extrinsic Equivariance

8 March 2023

Papers citing "A General Theory of Correct, Incorrect, and Extrinsic Equivariance"

50 / 50 papers shown

Title
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 81 1 0 06 Nov 2024
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance Xueyi Liu Ji Zhang Ruizhen Hu Haibin Huang He Wang Li Yi 3DPC 65 22 0 28 Feb 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David Klee Ondrej Biza Robert Platt Robin Walters 66 21 0 27 Feb 2023
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields Anthony Simeonov Yilun Du Lin Yen-Chen Alberto Rodriguez L. Kaelbling Tomas Lozano-Perez Pulkit Agrawal 74 57 0 17 Nov 2022
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation Chuer Pan Brian Okorn Harry Zhang Ben Eisner David Held 80 59 0 17 Nov 2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin Walters Robert Platt AAML 77 36 0 16 Nov 2022
SEIL: Simulation-augmented Equivariant Imitation Learning Ming Jia Dian Wang Guanang Su David Klee Xu Zhu Robin Walters Robert Platt 84 19 0 31 Oct 2022
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection Hao-zhe Huang Dian Wang Xu Zhu Robin Walters Robert Platt 3DPC 71 37 0 31 Oct 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 79 18 0 24 Oct 2022
Equivariance-aware Architectural Optimization of Neural Networks Kaitlin Maile Dennis G. Wilson Patrick Forré AI4CE 88 9 0 11 Oct 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 70 27 0 09 Oct 2022
Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 69 16 0 07 Jul 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning Hyunwoo Ryu Jeong-Hoon Lee Honglak Lee Jongeun Choi 89 56 0 16 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin Walters Lawson L. S. Wong 66 7 0 08 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances Ning Miao Tom Rainforth Emile Mathieu Yann Dubois Yee Whye Teh Adam Foster Hyunjik Kim 79 12 0 31 May 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework Dian Wang Colin Kohler Xu Zhu Ming Jia Robert Platt 60 9 0 28 May 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Yan Sun Kostas Daniilidis 3DPC 100 33 0 05 Apr 2022
On-Robot Learning With Equivariant Models Dian Wang Ming Jia Xu Zhu Robin Walters Robert Platt OffRL SSL 73 41 0 09 Mar 2022
$$\mathrm{SO}(2)$-Equivariant Reinforcement Learning$ $\mathrm{SO}(2)$ -Equivariant Reinforcement Learning Dian Wang Robin Walters Robert Platt 84 81 0 08 Mar 2022
Sample Efficient Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Ondrej Biza Guanang Su Robin Walters Robert Platt DRL 143 70 0 18 Feb 2022
Equivariant Transporter Network Hao-zhe Huang Dian Wang Robin Walters Robert Platt 100 59 0 18 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 75 42 0 15 Feb 2022
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Anthony Simeonov Yilun Du Andrea Tagliasacchi J. Tenenbaum Alberto Rodriguez Pulkit Agrawal Vincent Sitzmann 122 246 0 09 Dec 2021
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li Yijia Weng Li Yi Leonidas Guibas A. L. Abbott Shuran Song He Wang 3DPC 80 53 0 30 Oct 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin Walters Xu Zhu Robert Platt 86 78 0 28 Oct 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 160 88 0 15 Sep 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 92 299 0 26 Jul 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals Cédric Rommel Thomas Moreau Joseph Paillard Alexandre Gramfort 70 37 0 25 Jun 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 52 87 0 20 Feb 2021
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 66 44 0 21 Oct 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 79 96 0 06 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 73 162 0 30 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 68 137 0 08 Jun 2020
On the Benefits of Invariance in Neural Networks Clare Lyle Mark van der Wilk Marta Z. Kwiatkowska Y. Gal Benjamin Bloem-Reddy OOD BDL 73 95 0 01 May 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 120 323 0 25 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 63 135 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 123 175 0 08 Feb 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 113 524 0 19 Nov 2019
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces Akiyoshi Sannai Masaaki Imaizumi M. Kawano MLT 35 31 0 15 Oct 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 99 425 0 06 Jun 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 155 238 0 27 Jan 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 218 314 0 05 Nov 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 124 213 0 26 Apr 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 114 500 0 11 Feb 2018
Steerable CNNs Taco S. Cohen Max Welling BDL 140 499 0 27 Dec 2016
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 59 78 0 14 Oct 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 169 1,941 0 24 Feb 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation Søren Hauberg Oren Freifeld Anders Boesen Lindbo Larsen John W. Fisher III Lars Kai Hansen 45 154 0 09 Oct 2015
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 112 533 0 21 Nov 2014
Learning Invariant Representations with Local Transformations Kihyuk Sohn Honglak Lee OOD 75 191 0 27 Jun 2012