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Incorporating Symmetry into Deep Dynamics Models for Improved
  Generalization
v1v2v3v4 (latest)

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

International Conference on Learning Representations (ICLR), 2020
8 February 2020
Rui Wang
Robin Walters
Rose Yu
    AI4CE
ArXiv (abs)PDFHTMLGithub (35★)

Papers citing "Incorporating Symmetry into Deep Dynamics Models for Improved Generalization"

50 / 120 papers shown
Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
Cassidy Ashworth
Pietro Lio
Francesco Caso
AI4CE
132
0
0
18 Oct 2025
Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
Bálint László Szarvas
Maksim Zhdanov
145
0
0
15 Oct 2025
Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators
Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators
Wenhan Gao
Jian Luo
Fang Wan
Ruichen Xu
Xiang Liu
Haipeng Xing
Yi Liu
AI4CE
173
1
0
03 Oct 2025
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Lexiang Hu
Yikang Li
Zhouchen Lin
142
0
0
02 Oct 2025
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Siyang Li
Yize Chen
Yan Guo
Ming Huang
Hui Xiong
AI4CEAI4TS
150
0
0
29 Sep 2025
Scale-Consistent Learning for Partial Differential Equations
Scale-Consistent Learning for Partial Differential Equations
Zongyi Li
S. Lanthaler
Catherine Deng
Michael Chen
Yixuan Wang
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
195
0
0
24 Jul 2025
Flow Equivariant Recurrent Neural Networks
Flow Equivariant Recurrent Neural Networks
T. Anderson Keller
121
4
0
20 Jul 2025
Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion
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
261
5
0
05 Jun 2025
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
Yunfei Huang
David S. Greenberg
AI4CE
201
0
0
05 Jun 2025
Governing Equation Discovery from Data Based on Differential Invariants
Governing Equation Discovery from Data Based on Differential Invariants
Lexiang Hu
Yikang Li
Zhouchen Lin
403
0
0
24 May 2025
Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders
Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders
Fynn Fromme
Christine Allen-Blanchette
Christine Allen-Blanchette
Sebastian Peitz
AI4CESyDa
484
2
0
19 May 2025
Hamiltonian Neural PDE Solvers through Functional Approximation
Hamiltonian Neural PDE Solvers through Functional Approximation
Anthony Zhou
Amir Barati Farimani
AI4CE
280
0
0
19 May 2025
Discovering Symbolic Differential Equations with Symmetry Invariants
Discovering Symbolic Differential Equations with Symmetry Invariants
Jianke Yang
Manu Bhat
Bryan Hu
Yadi Cao
Nima Dehmamy
Robin Walters
Rose Yu
277
1
0
17 May 2025
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Zechu Li
Yufeng Jin
Daniel Felipe Ordoñez Apraez
Claudio Semini
Puze Liu
Georgia Chalvatzaki
1.1K
2
0
08 May 2025
Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks
Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks
Marius Kurz
Andrea Beck
Benjamin Sanderse
AI4CE
274
11
0
10 Apr 2025
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
Han Wan
Qi Wang
Hao Sun
Hao Sun
Hao Sun
AI4CE
509
2
0
13 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data
Generalization Bounds for Equivariant Networks on Markov Data
Hui Li
Zhiguo Wang
Bohui Chen
Li Sheng
256
0
0
01 Mar 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
Qi Wang
Yuan Mi
Jian Shu
Yi Zhang
Ruizhi Chengze
Hongsheng Liu
J. Wen
Hao Sun
AI4CE
376
5
0
28 Jan 2025
Approximate Equivariance in Reinforcement Learning
Approximate Equivariance in Reinforcement LearningInternational 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
587
7
0
06 Nov 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient
  prediction of spatiotemporal dynamics
P2^22C2^22Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamicsNeural Information Processing Systems (NeurIPS), 2024
Qi Wang
Pu Ren
Hao Zhou
Xin-Yang Liu
Z. Deng
...
Zidong Wang
Jian-Xun Wang
Ji-Rong_Wen
Hao Sun
Yang Liu
433
16
0
29 Oct 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data
Learning Infinitesimal Generators of Continuous Symmetries from DataNeural Information Processing Systems (NeurIPS), 2024
Gyeonghoon Ko
Hyunsu Kim
Juho Lee
317
11
0
29 Oct 2024
On the VC dimension of deep group convolutional neural networks
On the VC dimension of deep group convolutional neural networks
Anna Sepliarskaia
S. Langer
Johannes Schmidt-Hieber
MLT
260
0
0
21 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groupsNeural Information Processing Systems (NeurIPS), 2024
B. Kiani
Lukas Fesser
Melanie Weber
GNN
449
7
0
07 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie GroupsInternational Conference on Learning Representations (ICLR), 2024
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
385
17
0
03 Oct 2024
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images
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
MedImVLM
334
2
0
02 Oct 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systemsInternational Conference on Learning Representations (ICLR), 2024
Yuanzhao Zhang
William Gilpin
AI4TS
771
22
0
24 Sep 2024
Symmetry constrained neural networks for detection and localization of damage in metal plates
Symmetry constrained neural networks for detection and localization of damage in metal platesAPL Machine Learning (AML), 2024
James Amarel
Christopher Rudolf
Athanasios P. Iliopoulos
J. Michopoulos
Leslie N. Smith
325
1
0
09 Sep 2024
Adversarial Learning for Neural PDE Solvers with Sparse Data
Adversarial Learning for Neural PDE Solvers with Sparse Data
Yunpeng Gong
Yongjie Hou
Zhenzhong Wang
Zexin Lin
Min Jiang
AAML
231
22
0
04 Sep 2024
Equivariant Reinforcement Learning under Partial Observability
Equivariant Reinforcement Learning under Partial ObservabilityConference on Robot Learning (CoRL), 2024
Hai Nguyen
Andrea Baisero
David Klee
Dian Wang
Robert Platt
Christopher Amato
259
26
0
26 Aug 2024
Learning production functions for supply chains with graph neural networks
Learning production functions for supply chains with graph neural networks
Serina Chang
Zhiyin Lin
Benjamin Yan
Swapnil Bembde
Qi Xiu
...
Yu Qin
Frank Kloster
Alex Luo
Raj Palleti
J. Leskovec
GNNAI4TS
429
3
0
26 Jul 2024
Physics-embedded Fourier Neural Network for Partial Differential
  Equations
Physics-embedded Fourier Neural Network for Partial Differential Equations
Qingsong Xu
Nils Thuerey
Yilei Shi
Jonathan Bamber
Chaojun Ouyang
Xiao Xiang Zhu
AI4CE
266
1
0
15 Jul 2024
Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft
Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft
Yifei Li
E. Kampen
300
0
0
13 Jul 2024
Equivariant Diffusion Policy
Equivariant Diffusion Policy
Dian Wang
Stephen M. Hart
David Surovik
Tarik Kelestemur
Haojie Huang
Haibo Zhao
Mark Yeatman
Jiuguang Wang
Robin Walters
Robert Platt
DiffM
374
65
0
01 Jul 2024
Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
Atefeh Termehchi
Ekram Hossain
Isaac Woungang
Muhammad Ibrahim
Isaac Woungang
287
0
0
29 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin
Jacob Helwig
Shurui Gui
Shuiwang Ji
450
20
0
11 Jun 2024
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations
Vladislav Trifonov
Alexander Rudikov
Oleg Iliev
Ivan Oseledets
Ekaterina Muravleva
Ekaterina Muravleva
DiffMAI4CE
405
0
0
07 Jun 2024
Building Hybrid B-Spline And Neural Network Operators
Building Hybrid B-Spline And Neural Network OperatorsIEEE Conference on Decision and Control (CDC), 2024
Raffaele Romagnoli
Jasmine Ratchford
Mark H. Klein
AI4CE
288
3
0
06 Jun 2024
Tensor learning with orthogonal, Lorentz, and symplectic symmetries
Tensor learning with orthogonal, Lorentz, and symplectic symmetries
Wilson Gregory
Josué Tonelli-Cueto
Nicholas F. Marshall
Andrew S. Lee
Soledad Villar
294
4
0
03 Jun 2024
Symmetry-Informed Governing Equation Discovery
Symmetry-Informed Governing Equation Discovery
Jianke Yang
Wang Rao
Nima Dehmamy
Robin Walters
Rose Yu
293
9
0
27 May 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
Masanobu Horie
Naoto Mitsume
AI4CE
251
15
0
25 May 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Anuj Karpatne
X. Jia
Vipin Kumar
346
27
0
24 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Steffen Hagedorn
Marcel Milich
Alexandru Paul Condurache
319
5
0
17 Mar 2024
Symmetry Considerations for Learning Task Symmetric Robot Policies
Symmetry Considerations for Learning Task Symmetric Robot Policies
Mayank Mittal
Nikita Rudin
Victor Klemm
Arthur Allshire
Marco Hutter
249
40
0
07 Mar 2024
Clifford-Steerable Convolutional Neural Networks
Clifford-Steerable Convolutional Neural Networks
Maksim Zhdanov
David Ruhe
Maurice Weiler
Ana Lucic
Johannes Brandstetter
Patrick Forré
496
27
0
22 Feb 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics
  Learning and Control
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and ControlIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
T. Duong
Abdullah Altawaitan
Jason Stanley
Nikolay Atanasov
371
27
0
17 Jan 2024
Equivariance Is Not All You Need: Characterizing the Utility of
  Equivariant Graph Neural Networks for Particle Physics Tasks
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
S. Thais
D. Murnane
AI4CE
263
7
0
06 Nov 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message
  Passing
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message PassingNeural Information Processing Systems (NeurIPS), 2023
Jung Yeon Park
Lawson L. S. Wong
Robin Walters
AI4CE
466
2
0
30 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients
Learning Layer-wise Equivariances Automatically using GradientsNeural Information Processing Systems (NeurIPS), 2023
Tycho F. A. van der Ouderaa
Alexander Immer
Mark van der Wilk
MLT
345
22
0
09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
924
22
0
08 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group
  Convolution
Discovering Symmetry Breaking in Physical Systems with Relaxed Group ConvolutionInternational Conference on Machine Learning (ICML), 2023
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
816
20
0
03 Oct 2023
123
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