Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

8 February 2020

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

50 / 108 papers shown

Title
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation Zechu Li Yufeng Jin Daniel Felipe Ordoñez Apraez Claudio Semini Puze Liu Georgia Chalvatzaki 70 0 0 08 May 2025
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 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 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 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 Gyeonghoon Ko Hyunsu Kim Juho Lee 29 1 0 29 Oct 2024
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 B. Kiani Lukas Fesser Melanie Weber GNN 30 1 0 07 Oct 2024
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 Longchao Da Rui Wang Xiaojian Xu Parminder Bhatia Taha A. Kass-Hout Hua Wei Cao Xiao VLM MedIm 38 2 0 02 Oct 2024
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 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 Yunpeng Gong Yongjie Hou Zhenzhong Wang Zexin Lin Min Jiang AAML 27 4 0 04 Sep 2024
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 Serina Chang Zhiyin Lin Benjamin Yan Swapnil Bembde Qi Xiu ... Yu Qin Frank Kloster Alex Luo Raj Palleti J. Leskovec GNN AI4TS 34 1 0 26 Jul 2024
Physics-embedded Fourier Neural Network for Partial Differential Equations Qingsong Xu Nils Thuerey Yilei Shi Jonathan Bamber Chaojun Ouyang Xiao Xiang Zhu AI4CE 29 0 0 15 Jul 2024
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 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 Atefeh Termehchi Ekram Hossain Isaac Woungang 33 0 0 29 Jun 2024
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 Vladislav Trifonov Alexander Rudikov Oleg Iliev Ivan V. Oseledets Ekaterina A. Muravleva Ekaterina Muravleva DiffM AI4CE 31 0 0 07 Jun 2024
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 Wilson Gregory Josué Tonelli-Cueto Nicholas F. Marshall Andrew S. Lee Soledad Villar 37 1 0 03 Jun 2024
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 Masanobu Horie Naoto Mitsume AI4CE 21 5 0 25 May 2024
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 Steffen Hagedorn Marcel Milich A. P. Condurache 36 4 0 17 Mar 2024
Symmetry Considerations for Learning Task Symmetric Robot Policies Mayank Mittal N. Rudin Victor Klemm Arthur Allshire Marco Hutter 25 9 0 07 Mar 2024
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 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 S. Thais D. Murnane AI4CE 18 4 0 06 Nov 2023
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 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 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 Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 30 9 0 03 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 14 12 0 29 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 15 3 0 11 Sep 2023
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 Kexin Pei Weichen Li Qirui Jin Shuyang Liu Scott Geng Lorenzo Cavallaro Junfeng Yang Suman Jana 25 4 0 07 Aug 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon Q. Garrido Hannah Lawrence Danyal Rehman Yann LeCun B. Kiani SSL 11 24 0 11 Jul 2023
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 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 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 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 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 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 Koen Minartz Y. Poels Simon Koop Vlado Menkovski 22 5 0 23 May 2023
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