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Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
International Conference on Machine Learning (ICML), 2022
28 January 2022
Rui Wang
Robin Walters
Rose Yu
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Papers citing
"Approximately Equivariant Networks for Imperfectly Symmetric Dynamics"
50 / 65 papers shown
PERM EQ x GRAPH EQ: Equivariant Neural Networks for Quantum Molecular Learning
Saumya Biswas
Jiten Oswal
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05 Dec 2025
Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
Junwoo Chang
Minwoo Park
Joohwan Seo
R. Horowitz
Jongmin Lee
Jongeun Choi
102
2
0
30 Nov 2025
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
Haoran Li
Chenhan Xiao
Muhao Guo
Yang Weng
204
4
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04 Oct 2025
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Lexiang Hu
Yikang Li
Zhouchen Lin
150
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0
02 Oct 2025
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Ya-Wei Eileen Lin
Ron Levie
307
0
0
29 Sep 2025
Parameter-free approximate equivariance for tasks with finite group symmetry
Riccardo Ali
Pietro Lio
Jamie Vicary
153
0
0
09 Jun 2025
Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion
Hongyu Wang
Yonghao Long
Yueyao Chen
Hon-Chi Yip
Markus Scheppach
Philip Wai-Yan Chiu
Y. Yam
Helen M. Meng
Qi Dou
MedIm
272
5
0
05 Jun 2025
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
Bahareh Tolooshams
Aditi Chandrashekar
Rayhan Zirvi
Abbas Mammadov
Jiachen Yao
Chuwei Wang
Julius Berner
DiffM
407
4
0
29 May 2025
A Regularization-Guided Equivariant Approach for Image Restoration
Computer Vision and Pattern Recognition (CVPR), 2025
Yulu Bai
J. Fu
Qi Xie
Deyu Meng
223
5
0
26 May 2025
Learning (Approximately) Equivariant Networks via Constrained Optimization
Andrei Manolache
Luiz F.O. Chamon
Mathias Niepert
505
6
0
19 May 2025
Discovering Symbolic Differential Equations with Symmetry Invariants
Jianke Yang
Manu Bhat
Bryan Hu
Yadi Cao
Nima Dehmamy
Robin Walters
Rose Yu
291
1
0
17 May 2025
AtlasD: Automatic Local Symmetry Discovery
Manu Bhat
Jonghyun Park
Jianke Yang
Nima Dehmamy
Robin Walters
Rose Yu
315
0
0
15 Apr 2025
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
Joshua McClellan
Greyson Brothers
Furong Huang
Erfaun Noorani
316
2
0
19 Mar 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
631
9
0
16 Dec 2024
Approximate Equivariance in Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Jung Yeon Park
Sujay Bhatt
Sihan Zeng
Lawson L. S. Wong
Alec Koppel
Sumitra Ganesh
Robin Walters
627
7
0
06 Nov 2024
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
Neural Information Processing Systems (NeurIPS), 2024
Eric Qu
Aditi S. Krishnapriyan
LRM
303
44
0
31 Oct 2024
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
541
8
0
23 Oct 2024
Symmetry From Scratch: Group Equivariance as a Supervised Learning Task
Haozhe Huang
Leo Kaixuan Cheng
Kaiwen Chen
Alán Aspuru-Guzik
243
0
0
05 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ashwin Samudre
Mircea Petrache
Brian D. Nord
Shubhendu Trivedi
665
7
0
18 Sep 2024
Symmetry constrained neural networks for detection and localization of damage in metal plates
APL Machine Learning (AML), 2024
James Amarel
Christopher Rudolf
Athanasios P. Iliopoulos
J. Michopoulos
Leslie N. Smith
346
1
0
09 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation
Neural Information Processing Systems (NeurIPS), 2024
Stefanos Pertigkiozoglou
Evangelos Chatzipantazis
Shubhendu Trivedi
Kostas Daniilidis
411
21
0
23 Aug 2024
Relaxed Rotational Equivariance via
G
G
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
323
0
0
22 Aug 2024
Relaxed Equivariant Graph Neural Networks
E. Hofgard
Rui Wang
Robin Walters
Tess E. Smidt
264
5
0
30 Jul 2024
Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft
Yifei Li
E. Kampen
310
0
0
13 Jul 2024
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
Hyunsu Kim
Yegon Kim
Hongseok Yang
Juho Lee
278
2
0
05 Jul 2024
Link Prediction with Untrained Message Passing Layers
Lisi Qarkaxhija
Anatol E. Wegner
Ingo Scholtes
403
2
0
24 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher
Rishabh Agarwal
Yoshinobu Kawahara
OffRL
277
3
0
21 Jun 2024
Approximately Equivariant Neural Processes
Neural Information Processing Systems (NeurIPS), 2024
Matthew Ashman
Cristiana-Diana Diaconu
Adrian Weller
W. Bruinsma
Richard E. Turner
BDL
231
8
0
19 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin
Jacob Helwig
Shurui Gui
Shuiwang Ji
465
20
0
11 Jun 2024
Approximately-symmetric neural networks for quantum spin liquids
Physical Review Letters (PRL), 2024
Dominik S. Kufel
Jack Kemp
DinhDuy Vu
Simon M. Linsel
C. Laumann
Norman Y. Yao
322
4
0
27 May 2024
Morphological Symmetries in Robotics
Daniel Felipe Ordoñez Apraez
Giulio Turrisi
Vladimir Kostic
Mario Martin
Antonio Agudo
Francesc Moreno-Noguer
Massimiliano Pontil
Claudio Semini
Carlos Mastalli
AI4CE
495
21
0
23 Feb 2024
Equivariant Symmetry Breaking Sets
YuQing Xie
Tess E. Smidt
394
8
0
05 Feb 2024
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
S. Thais
D. Murnane
AI4CE
300
8
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06 Nov 2023
E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
Sneh Pandya
Purvik Patel
O. Franc
Jonathan Blazek
292
9
0
02 Nov 2023
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields
Neural Information Processing Systems (NeurIPS), 2023
Miltiadis Kofinas
Erik J. Bekkers
N. S. Nagaraja
E. Gavves
AI4CE
459
9
0
31 Oct 2023
Almost Equivariance via Lie Algebra Convolutions
Daniel McNeela
945
12
0
19 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients
Neural Information Processing Systems (NeurIPS), 2023
Tycho F. A. van der Ouderaa
Alexander Immer
Mark van der Wilk
MLT
379
23
0
09 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
International Conference on Machine Learning (ICML), 2023
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
862
20
0
03 Oct 2023
A topological model for partial equivariance in deep learning and data analysis
L. Ferrari
Patrizio Frosini
Nicola Quercioli
Francesca Tombari
294
2
0
25 Aug 2023
Approximately Equivariant Graph Networks
Neural Information Processing Systems (NeurIPS), 2023
Ningyuan Huang
Ron Levie
Soledad Villar
484
27
0
21 Aug 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Pourya Shamsolmoali
Masoumeh Zareapoor
281
1
0
24 Jul 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations
International Conference on Machine Learning (ICML), 2023
Jacob Helwig
Xuan Zhang
Cong Fu
Jerry Kurtin
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
328
43
0
09 Jun 2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
International Conference on Machine Learning (ICML), 2023
Alexander Immer
Tycho F. A. van der Ouderaa
Mark van der Wilk
Gunnar Rätsch
Bernhard Schölkopf
BDL
302
17
0
06 Jun 2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries
International Conference on Machine Learning (ICML), 2023
Hyunsung Kim
Hyungi Lee
Hongseok Yang
Juho Lee
394
16
0
01 Jun 2023
Group Invariant Global Pooling
Kamil Bujel
Yonatan Gideoni
Chaitanya K. Joshi
Pietro Lio
198
0
0
30 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Neural Information Processing Systems (NeurIPS), 2023
Mircea Petrache
Shubhendu Trivedi
435
42
0
27 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Neural Information Processing Systems (NeurIPS), 2023
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
368
7
0
23 May 2023
Subspace-Configurable Networks
Dong Wang
O. Saukh
Xiaoxi He
Lothar Thiele
OOD
332
0
0
22 May 2023
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
Daniel Felipe Ordoñez Apraez
Mario Martin
Antonio Agudo
Francesc Moreno-Noguer
AI4CE
355
13
0
21 Feb 2023
Generative Adversarial Symmetry Discovery
International Conference on Machine Learning (ICML), 2023
Jianke Yang
Robin Walters
Nima Dehmamy
Rose Yu
GAN
410
41
0
01 Feb 2023
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