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Incorporating Symmetry into Deep Dynamics Models for Improved
  Generalization

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

8 February 2020
Rui Wang
Robin G. Walters
Rose Yu
    AI4CE
ArXivPDFHTML

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

50 / 108 papers shown
Title
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
67
0
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
21
0
0
10 Apr 2025
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction
Han Wan
Qi Wang
Hao Sun
Hao Sun
AI4CE
46
0
0
13 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data
Hui Li
Zhiguo Wang
Bohui Chen
Li Sheng
26
0
0
01 Mar 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
Qi Wang
Yuan Mi
H. Wang
Yi Zhang
Ruizhi Chengze
Hongsheng Liu
J. Wen
Hao Sun
AI4CE
35
0
0
28 Jan 2025
Approximate Equivariance in Reinforcement Learning
Approximate Equivariance in Reinforcement Learning
Jung Yeon Park
Sujay Bhatt
Sihan Zeng
Lawson L. S. Wong
Alec Koppel
Sumitra Ganesh
Robin Walters
24
1
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 dynamics
Qi Wang
Pu Ren
Hao Zhou
Xin-Yang Liu
Z. Deng
...
Zidong Wang
Jian-Xun Wang
Ji-Rong_Wen
Hao Sun
Yang Liu
48
5
0
29 Oct 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data
Learning Infinitesimal Generators of Continuous Symmetries from Data
Gyeonghoon Ko
Hyunsu Kim
Juho Lee
29
1
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
23
0
0
21 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groups
B. Kiani
Lukas Fesser
Melanie Weber
GNN
30
1
0
07 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
34
1
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
VLM
MedIm
35
2
0
02 Oct 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
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 plates
James Amarel
Christopher Rudolf
Athanasios P. Iliopoulos
J. Michopoulos
Leslie N. Smith
19
0
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
24
4
0
04 Sep 2024
Equivariant Reinforcement Learning under Partial Observability
Equivariant Reinforcement Learning under Partial Observability
Hai Nguyen
Andrea Baisero
David M. Klee
Dian Wang
Robert Platt
Christopher Amato
29
14
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
GNN
AI4TS
31
1
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
26
0
0
15 Jul 2024
Deep reinforcement learning with symmetric data augmentation applied for
  aircraft lateral attitude tracking control
Deep reinforcement learning with symmetric data augmentation applied for aircraft lateral attitude tracking control
Yifei Li
E. Kampen
25
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
41
19
0
01 Jul 2024
Science-Informed Deep Learning (ScIDL) With Applications to Wireless
  Communications
Science-Informed Deep Learning (ScIDL) With Applications to Wireless Communications
Atefeh Termehchi
Ekram Hossain
Isaac Woungang
33
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
32
7
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 V. Oseledets
Ekaterina A. Muravleva
Ekaterina Muravleva
DiffM
AI4CE
28
0
0
07 Jun 2024
Building Hybrid B-Spline And Neural Network Operators
Building Hybrid B-Spline And Neural Network Operators
Raffaele Romagnoli
Jasmine Ratchford
Mark H. Klein
AI4CE
24
1
0
06 Jun 2024
Learning equivariant tensor functions with applications to sparse vector
  recovery
Learning equivariant tensor functions with applications to sparse vector recovery
Wilson Gregory
Josué Tonelli-Cueto
Nicholas F. Marshall
Andrew S. Lee
Soledad Villar
37
1
0
03 Jun 2024
Symmetry-Informed Governing Equation Discovery
Symmetry-Informed Governing Equation Discovery
Jianke Yang
Wang Rao
Nima Dehmamy
Robin G. Walters
Rose Yu
29
0
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
21
5
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
42
9
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
A. P. Condurache
36
4
0
17 Mar 2024
Symmetry Considerations for Learning Task Symmetric Robot Policies
Symmetry Considerations for Learning Task Symmetric Robot Policies
Mayank Mittal
N. Rudin
Victor Klemm
Arthur Allshire
Marco Hutter
23
9
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
34
12
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 Control
T. Duong
Abdullah Altawaitan
Jason Stanley
Nikolay A. Atanasov
20
9
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
18
4
0
06 Nov 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message
  Passing
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Jung Yeon Park
Lawson L. S. Wong
Robin Walters
AI4CE
11
0
0
30 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients
Learning Layer-wise Equivariances Automatically using Gradients
Tycho F. A. van der Ouderaa
Alexander Immer
Mark van der Wilk
MLT
31
12
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
18
9
0
08 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group
  Convolution
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
30
9
0
03 Oct 2023
Latent Space Symmetry Discovery
Latent Space Symmetry Discovery
Jianke Yang
Nima Dehmamy
Robin G. Walters
Rose Yu
14
12
0
29 Sep 2023
Neural Discovery of Permutation Subgroups
Neural Discovery of Permutation Subgroups
Pavan Karjol
Rohan Kashyap
A. Prathosh
12
3
0
11 Sep 2023
A Unified Framework for Discovering Discrete Symmetries
A Unified Framework for Discovering Discrete Symmetries
Pavan Karjol
Rohan Kashyap
Aditya Gopalan
Prathosh A.P.
11
2
0
06 Sep 2023
Exploiting Code Symmetries for Learning Program Semantics
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei
Weichen Li
Qirui Jin
Shuyang Liu
Scott Geng
Lorenzo Cavallaro
Junfeng Yang
Suman Jana
23
4
0
07 Aug 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential
  Equations
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon
Q. Garrido
Hannah Lawrence
Danyal Rehman
Yann LeCun
B. Kiani
SSL
8
24
0
11 Jul 2023
Worth of knowledge in deep learning
Worth of knowledge in deep learning
Hao Xu
Yuntian Chen
Dong-juan Zhang
13
0
0
03 Jul 2023
On Robot Grasp Learning Using Equivariant Models
On Robot Grasp Learning Using Equivariant Models
Xu Zhu
Dian Wang
Guanang Su
Ondrej Biza
Robin G. Walters
Robert W. Platt
21
9
0
10 Jun 2023
Group Equivariant Fourier Neural Operators for Partial Differential
  Equations
Group Equivariant Fourier Neural Operators for Partial Differential Equations
Jacob Helwig
Xuan Zhang
Cong Fu
Jerry Kurtin
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
44
28
0
09 Jun 2023
Discovering Novel Biological Traits From Images Using Phylogeny-Guided
  Neural Networks
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
Mohannad Elhamod
Mridul Khurana
Harish Babu Manogaran
Josef C. Uyeda
M. Balk
...
Wei-Lun Chao
Chuck Stewart
Daniel Rubenstein
T. Berger-Wolf
Anuj Karpatne
14
7
0
05 Jun 2023
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
H. Cao
Y. Mao
L. Sha
Marco Caccamo
PINN
AI4CE
17
6
0
26 May 2023
Learning Lagrangian Fluid Mechanics with E($3$)-Equivariant Graph Neural
  Networks
Learning Lagrangian Fluid Mechanics with E(333)-Equivariant Graph Neural Networks
Artur P. Toshev
Gianluca Galletti
Johannes Brandstetter
Stefan Adami
Nikolaus A. Adams
AI4CE
20
5
0
24 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
22
5
0
23 May 2023
Importance of equivariant and invariant symmetries for fluid flow
  modeling
Importance of equivariant and invariant symmetries for fluid flow modeling
Varun Shankar
Shivam Barwey
Zico Kolter
R. Maulik
V. Viswanathan
AI4CE
22
4
0
03 May 2023
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