Discovering Symmetry Breaking in Physical Systems with Relaxed Group
Convolution

Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution

3 October 2023

Papers citing "Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution"

17 / 17 papers shown

Title
Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence Vasco Portilheiro Yan Zhang Sékou-Oumar Kaba 47 3 0 27 Mar 2025
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL Joshua McClellan Greyson Brothers Furong Huang Pratap Tokekar 51 0 0 19 Mar 2025
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 34 1 0 06 Nov 2024
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images Longchao Da Rui Wang Xiaojian Xu Parminder Bhatia Taha A. Kass-Hout Hua Wei Cao Xiao VLM MedIm 46 2 0 02 Oct 2024
Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks Jiayu Peng James K. Damewood Jessica Karaguesian Jaclyn R. Lunger Rafael Gómez-Bombarelli AI4CE 56 2 0 20 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 42 4 0 23 Aug 2024
Relaxed Rotational Equivariance via $G$ -Biases in Vision Zhiqiang Wu Licheng Sun Yingjie Liu Jian Yang Hanlin Dong S. J. Lin Xuan Tang Jinpeng Mi Bo Jin Xian Wei 36 0 0 22 Aug 2024
Relaxed Equivariant Graph Neural Networks E. Hofgard Rui Wang Robin Walters Tess E. Smidt 40 1 0 30 Jul 2024
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation Han Gao Xu Han Xiantao Fan Luning Sun Liping Liu Lian Duan Jian-Xun Wang DiffM AI4CE 30 20 0 14 Nov 2023
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning Samuel E. Otto Nicholas Zolman J. Nathan Kutz Steven L. Brunton AI4CE 30 11 0 01 Nov 2023
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 50 12 0 09 Oct 2023
Spherical Channels for Modeling Atomic Interactions C. L. Zitnick Abhishek Das Adeesh Kolluru Janice Lan Muhammed Shuaibi Anuroop Sriram Zachary W. Ulissi Brandon M. Wood 79 58 0 29 Jun 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 38 73 0 28 Jan 2022
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
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
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 226 2,287 0 18 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017