Enabling equivariance for arbitrary Lie groups

16 November 2021

Papers citing "Enabling equivariance for arbitrary Lie groups"

21 / 21 papers shown

Title
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 76 0 0 02 Jan 2025
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 35 0 0 11 Nov 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 41 1 0 03 Oct 2024
Affine steerers for structured keypoint description Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 36 2 0 26 Aug 2024
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning Ray Zhang Zheming Zhou Min Sun Omid Ghasemalizadeh Cheng-Hao Kuo Ryan Eustice Maani Ghaffari Arnie Sen 3DPC 45 1 0 29 Jul 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 30 0 0 29 May 2024
$Learning Polynomial Problems with $SL(2,\mathbb{R})$ Equivariance$ Learning Polynomial Problems with $SL(2,\mathbb{R})$ Equivariance Hannah Lawrence Mitchell Tong Harris 30 1 0 04 Dec 2023
Color Equivariant Convolutional Networks A. Lengyel Ombretta Strafforello Robert-Jan Bruintjes Alexander Gielisse J. C. V. Gemert 24 4 0 30 Oct 2023
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 29 6 0 19 Oct 2023
Lie Group Decompositions for Equivariant Neural Networks Mircea Mironenco Patrick Forré AI4CE 28 8 0 17 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 48 2 0 06 Oct 2023
DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau Federico Danieli Thomas Anderson Keller Arno Blaas Chen Huang Jason Ramapuram Dan Busbridge Luca Zappella 25 3 0 28 Jun 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 21 6 0 01 Mar 2023
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 27 0 0 30 Dec 2022
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution Xinrui Zhan Yang Li Wenyu Liu Jianke Zhu 25 0 0 23 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 27 18 0 11 Jun 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 25 11 0 28 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 185 0 19 Apr 2021
Efficient-CapsNet: Capsule Network with Self-Attention Routing Vittorio Mazzia Francesco Salvetti Marcello Chiaberge 3DPC MedIm 75 175 0 29 Jan 2021
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012