Learning to Control PDEs with Differentiable Physics

21 January 2020

Papers citing "Learning to Control PDEs with Differentiable Physics"

50 / 120 papers shown

Title
Emergence of Computational Structure in a Neural Network Physics Simulator Rohan Hitchcock Gary W. Delaney J. Manton Richard Scalzo Jingge Zhu 27 0 0 16 Apr 2025
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control Peiyan Hu Xiaowei Qian Wenhao Deng Rui Wang Haodong Feng ... Tao Zhang Long Wei Yue Wang Zhi-Ming Ma Tailin Wu AI4CE 113 0 0 04 Feb 2025
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin Models Muhammad Saad Zia Ashiq Anjum Lu Liu Anthony Conway Anasol Pena Rios PINN AI4CE 67 0 0 18 Nov 2024
Multimodal Policies with Physics-informed Representations Haodong Feng Peiyan Hu Yue Wang Dixia Fan PINN AI4CE 21 0 0 20 Oct 2024
DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks Xutong Jin Chenxi Xu Ruohan Gao Jiajun Wu Guoping Wang Sheng Li DiffM 33 2 0 20 Sep 2024
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation Asen Nachkov Danda Pani Paudel Luc Van Gool 27 0 0 12 Sep 2024
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs Priyabrata Saha Saibal Mukhopadhyay AI4CE 24 0 0 09 Sep 2024
Differentiable programming across the PDE and Machine Learning barrier N. Bouziani David A. Ham Ado Farsi PINN AI4CE 32 1 0 09 Sep 2024
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations Sheel Nidhan Haoliang Jiang Lalit Ghule C. Umphrey Rishikesh Ranade Jay Pathak AI4CE 34 0 0 26 Aug 2024
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing Bo Ai Stephen Tian Haochen Shi Yixuan Wang Cheston Tan Yunzhu Li Jiajun Wu 44 3 0 01 Jul 2024
Approximately Equivariant Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller W. Bruinsma Richard E. Turner BDL 34 1 0 19 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
MotionCraft: Physics-based Zero-Shot Video Generation L. S. Aira Antonio Montanaro Emanuele Aiello D. Valsesia E. Magli DiffM VGen 26 9 0 22 May 2024
PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations Luke Bhan Yuexin Bian Miroslav Krstic Yuanyuan Shi OOD AI4CE 27 6 0 18 May 2024
Stabilizing Backpropagation Through Time to Learn Complex Physics Patrick Schnell Nils Thuerey 35 2 0 03 May 2024
Learning to Move Objects with Fluid Streams in a Differentiable Simulation Kārlis Freivalds Laura Leja Oskars Teikmanis AI4CE OCL 24 0 0 28 Apr 2024
Neural Operators Learn the Local Physics of Magnetohydrodynamics Taeyoung Kim Youngsoo Ha Myungjoo Kang AI4CE 19 0 0 24 Apr 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations Xuan Zhang Jacob Helwig Yu-Ching Lin Yaochen Xie Cong Fu Stephan Wojtowytsch Shuiwang Ji AI4CE 37 6 0 28 Mar 2024
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework Artur P. Toshev Harish D. Ramachandran Jonas A. Erbesdobler Gianluca Galletti Johannes Brandstetter Nikolaus A. Adams 44 7 0 07 Mar 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling Ruijia Niu D. Wu Kai Kim Yi-An Ma D. Watson‐Parris Rose Yu AI4CE 22 2 0 29 Feb 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 47 12 0 22 Feb 2024
Implicit Neural Representation for Physics-driven Actuated Soft Bodies Lingchen Yang Byungsoo Kim Gaspard Zoss Baran Gözcü Markus Gross B. Solenthaler AI4CE 3DH 21 19 0 26 Jan 2024
Neural Control: Concurrent System Identification and Control Learning with Neural ODE Cheng Chi 16 0 0 03 Jan 2024
Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws Taeyoung Kim Myungjoo Kang AI4CE 15 2 0 03 Jan 2024
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics Zhiao Huang Feng Chen Yewen Pu Chun-Tse Lin Hao Su Chuang Gan 19 4 0 11 Dec 2023
Better Neural PDE Solvers Through Data-Free Mesh Movers Peiyan Hu Yue Wang Zhi-Ming Ma AI4CE 17 2 0 09 Dec 2023
Differentiable Fluid Physics Parameter Identification Via Stirring Samuel Paradis Dongzhe Zheng Yutong Li Michael Whitmeyer Cewu Lu 13 0 0 09 Nov 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 19 4 0 30 Oct 2023
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 24 6 0 19 Oct 2023
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation Yuqi Xiang Feitong Chen Qinsi Wang Yang Gang Xiang Zhang Xinghao Zhu Xingyu Liu Lin Shao 30 1 0 07 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng-Wei Zhang B. Kailkhura Sijia Liu 30 43 0 03 Oct 2023
A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints Roussel Desmond Nzoyem David A.W. Barton Tom Deakin AI4CE 19 4 0 02 Oct 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 32 4 0 28 Sep 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 35 0 0 27 Sep 2023
Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact Gang Yang Siyuan Luo Lin Shao 11 6 0 09 Sep 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 34 22 0 04 Sep 2023
Bringing PDEs to JAX with forward and reverse modes automatic differentiation I. Yashchuk 14 6 0 31 Aug 2023
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics Michael Fischer Tobias Ritschel 22 2 0 10 Aug 2023
Differentiable Turbulence: Closure as a partial differential equation constrained optimization Varun Shankar Dibyajyoti Chakraborty V. Viswanathan R. Maulik AI4CE 18 1 0 07 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 32 30 0 24 Jun 2023
Machine learning of hidden variables in multiscale fluid simulation A. Joglekar A. Thomas AI4CE 80 8 0 19 Jun 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning D. Wu Ruijia Niu Matteo Chinazzi Yi-An Ma Rose Yu AI4CE 20 7 0 07 May 2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics Sizhe Li Zhiao Huang Tao Chen Tao Du Hao Su J. Tenenbaum Chuang Gan 78 19 0 27 Mar 2023
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation Zhou Xian Bo Zhu Zhenjia Xu H. Tung Antonio Torralba Katerina Fragkiadaki Chuang Gan 46 42 0 04 Mar 2023
Geometric Clifford Algebra Networks David Ruhe Jayesh K. Gupta Steven De Keninck Max Welling Johannes Brandstetter AI4CE 18 33 0 13 Feb 2023
Learning Functional Transduction Mathieu Chalvidal Thomas Serre Rufin VanRullen AI4CE 30 2 0 01 Feb 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 11 9 0 24 Jan 2023
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 15 0 0 21 Nov 2022
Learning Modular Simulations for Homogeneous Systems Jayesh K. Gupta Sai H. Vemprala Ashish Kapoor 11 6 0 28 Oct 2022
Differentiable Analog Quantum Computing for Optimization and Control Jiaqi Leng Yuxiang Peng Yi-Ling Qiao Ming-Chyuan Lin Xiaodi Wu 9 15 0 28 Oct 2022