Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 502 papers shown

Title
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 55 0 0 24 Apr 2024
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks Ben Eisner Yi Yang Todor Davchev Mel Vecerík Jonathan Scholz David Held 39 11 0 20 Apr 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich Alexandru Paul Condurache 55 4 0 17 Mar 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 48 0 0 23 Feb 2024
Bi-invariant Dissimilarity Measures for Sample Distributions in Lie Groups M. Hanik H. Hege C. V. Tycowicz 29 3 0 20 Feb 2024
Equivariant Symmetry Breaking Sets YuQing Xie Tess E. Smidt 43 4 0 05 Feb 2024
Anytime-Valid Tests of Group Invariance through Conformal Prediction Tyron Lardy M. F. Pérez-Ortiz 15 2 0 27 Jan 2024
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 63 1 0 23 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 26 1 0 19 Dec 2023
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 35 2 0 19 Dec 2023
$$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks$ $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks Zhongtian Dong Marçal Comajoan Cara Gopal Ramesh Dahale Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 30 5 0 30 Nov 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 25 1 0 13 Nov 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 27 34 0 12 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 53 2 0 06 Oct 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 47 3 0 28 Sep 2023
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge Marc Aubreville N. Stathonikos T. Donovan R. Klopfleisch J. Ganz ... Yongbing Zhang Sen Yang Xiyue Wang Katharina Breininger C. Bertram 39 16 0 27 Sep 2023
Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups Kathlén Kohn Anna-Laura Sattelberger Vahid Shahverdi 35 3 0 24 Sep 2023
E(2)-Equivariant Graph Planning for Navigation Linfeng Zhao Hongyu Li T. Padır Huaizu Jiang Lawson L. S. Wong 27 6 0 22 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 34 3 0 11 Sep 2023
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension Miguel Abreu Luis Paulo Reis N. Lau 41 6 0 06 Sep 2023
S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction E. Santellani Christian Sormann Mattia Rossi Andreas Kuhn Friedrich Fraundorfer 34 7 0 28 Aug 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold Pourya Shamsolmoali Masoumeh Zareapoor 45 1 0 24 Jul 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? Linfeng Zhao Owen Howell Jung Yeon Park Xu Zhu Robin Walters Lawson L. S. Wong 41 1 0 17 Jul 2023
Graph Automorphism Group Equivariant Neural Networks Edward Pearce-Crump William J. Knottenbelt 28 1 0 15 Jul 2023
Capsule network with shortcut routing Thanh-Vu Dang Hoang-Trong Vo Gwanghyun Yu Jin Young Kim 53 1 0 14 Jul 2023
Learning Lie Group Symmetry Transformations with Neural Networks Alex Gabel Victoria G Klein Riccardo Valperga J. Lamb K. Webster Rick Quax E. Gavves 33 5 0 04 Jul 2023
Restore Translation Using Equivariant Neural Networks Yihan Wang Lijia Yu Xiao-Shan Gao 21 0 0 29 Jun 2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images Hong Wang Minghao Zhou Dong Wei Yuexiang Li Yefeng Zheng 25 6 0 25 Jun 2023
Any-dimensional equivariant neural networks Eitan Levin Mateo Díaz 39 7 0 10 Jun 2023
Representing and Learning Functions Invariant Under Crystallographic Groups Ryan P. Adams Peter Orbanz 29 4 0 08 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim SungSoo Ahn Jinkyoo Park OffRL 44 7 0 02 Jun 2023
Is novelty predictable? Clara Fannjiang Jennifer Listgarten AI4CE 25 14 0 01 Jun 2023
SO(2)-Equivariant Downwash Models for Close Proximity Flight Henry Smith Ajay Shankar Jennifer Gielis J. Blumenkamp A. Prorok 36 7 0 30 May 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 47 8 0 29 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 42 23 0 27 May 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 34 6 0 26 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 46 7 0 25 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics Koen Minartz Y. Poels Simon Koop Vlado Menkovski 35 5 0 23 May 2023
Subspace-Configurable Networks Dong Wang O. Saukh Xiaoxi He Lothar Thiele OOD 40 0 0 22 May 2023
Statistical Guarantees of Group-Invariant GANs Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu 50 2 0 22 May 2023
Analyzing Compression Techniques for Computer Vision Maniratnam Mandal Imran Khan 27 1 0 14 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 38 2 0 09 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 51 15 0 27 Apr 2023
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 30 3 0 10 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 34 7 0 05 Apr 2023
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 18 23 0 25 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks Axel Flinth F. Ohlsson 46 5 0 23 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 40 97 0 20 Mar 2023
Geometric Deep Learning for Molecular Crystal Structure Prediction Michael Kilgour J. Rogal M. Tuckerman 38 16 0 17 Mar 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 41 0 0 08 Mar 2023