Learning to Simulate Complex Physics with Graph Networks

21 February 2020

Alvaro Sanchez-Gonzalez

Papers citing "Learning to Simulate Complex Physics with Graph Networks"

50 / 595 papers shown

Title
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video Xiangming Zhu Huayu Deng Haochen Yuan Yunbo Wang Xiaokang Yang AI4CE VGen PINN 40 1 0 18 Jun 2024
Learning Physical Simulation with Message Passing Transformer Zeyi Xu Yifei Li AI4CE 25 1 0 10 Jun 2024
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization Takuhiro Kaneko 35 2 0 06 Jun 2024
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations Jan Hagnberger Marimuthu Kalimuthu Daniel Musekamp Mathias Niepert AI4TS AI4CE 42 5 0 06 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 41 4 0 06 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 32 2 0 05 Jun 2024
Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters Yitong Li Ruihai Wu Haoran Lu Chuanruo Ning Yan Shen Guanqi Zhan Hao Dong 36 6 0 04 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad Olof Mogren Aleksis Pirinen 44 1 0 30 May 2024
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates Y. Poels Koen Minartz Harshit Bansal Vlado Menkovski AI4CE 35 1 0 27 May 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie Naoto Mitsume AI4CE 27 5 0 25 May 2024
Defining error accumulation in ML atmospheric simulators R. Parthipan Mohit Anand Hannah M. Christensen J. S. Hosking Damon J. Wischik 21 1 0 23 May 2024
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision Yulia Rubanova Tatiana López-Guevara Kelsey R. Allen William F. Whitney Kimberly L. Stachenfeld Tobias Pfaff 3DV PINN AI4CE 38 3 0 22 May 2024
Graph neural networks informed locally by thermodynamics Alicia Tierz Ic´ıar Alfaro David González Francisco Chinesta Elías Cueto AI4CE PINN 68 0 0 21 May 2024
A Comparative Study of Garment Draping Techniques Prerana Achar Mayank Patel Anushka Mulik Neha Katre Stevina Dias Chirag Raman AI4CE 3DH 62 1 0 17 May 2024
CaFA: Global Weather Forecasting with Factorized Attention on Sphere Zijie Li Anthony Y. Zhou Saurabh Patil A. Farimani 37 6 0 12 May 2024
Point Cloud Models Improve Visual Robustness in Robotic Learners Skand Peri Iain Lee Chanho Kim Fuxin Li Tucker Hermans Stefan Lee 3DPC 38 3 0 29 Apr 2024
Neural Interaction Energy for Multi-Agent Trajectory Prediction Kaixin Shen Ruijie Quan Linchao Zhu Jun Xiao Yi Yang 32 0 0 25 Apr 2024
A Neural-Network-Based Approach for Loose-Fitting Clothing Yongxu Jin Dalton Omens Z. Geng Joseph Teran Abishek Kumar Kenji Tashiro Ron Fedkiw 3DH AI4CE 24 0 0 25 Apr 2024
Virtual Foundry Graphnet for Metal Sintering Deformation Prediction R. Chen Chen Juheon Lee Chuang Gan Zijiang Yang M. A. Nabian Jun Zeng AI4CE 25 1 0 17 Apr 2024
TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision Zhuo Chen Jacob McCarran Esteban Vizcaino Marin Soljacic Di Luo AI4CE 14 3 0 16 Apr 2024
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction Beomseok Kang H. Kumar Minah Lee Biswadeep Chakraborty Saibal Mukhopadhyay AI4CE 40 5 0 09 Apr 2024
Object Dynamics Modeling with Hierarchical Point Cloud-based Representations Chanho Kim Fuxin Li AI4CE 3DPC 40 0 0 09 Apr 2024
3D scene generation from scene graphs and self-attention Pietro Bonazzi Mengqi Wang Diego Martin Arroyo Fabian Manhardt Nico Messikomer Federico Tombari Davide Scaramuzza 3DV 3DPC 32 0 0 02 Apr 2024
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning Weihua Hu Yiwen Yuan Zecheng Zhang Akihiro Nitta Kaidi Cao Vid Kocijan J. Leskovec Matthias Fey LMTD 29 9 0 31 Mar 2024
GrINd: Grid Interpolation Network for Scattered Observations Andrzej Dulny Paul Heinisch Andreas Hotho Anna Krause 30 1 0 28 Mar 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 34 6 0 28 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 36 4 0 17 Mar 2024
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields Yi-Lun Liao Tess E. Smidt Abhishek Das DiffM AI4CE 32 10 0 14 Mar 2024
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians Licheng Zhong Hong-Xing Yu Jiajun Wu Yunzhu Li 59 19 0 14 Mar 2024
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction Mohamed Elrefaie Angela Dai Faez Ahmed DiffM AI4CE 46 9 0 12 Mar 2024
Interactive Perception for Deformable Object Manipulation Zehang Weng Peng Zhou Hang Yin Alexander Kravberg Anastasiia Varava D. Navarro-Alarcon Danica Kragic 35 3 0 08 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
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter G. Klambauer Andreas Mayr 28 4 0 07 Mar 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives Simone Alberto Peirone Francesca Pistilli A. Alliegro Giuseppe Averta EgoV 27 4 0 05 Mar 2024
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design) Mouadh Yagoubi Milad Leyli-Abadi David Danan Jean-Patrick Brunet Jocelyn Ahmed Mazari F. Bonnet A. Farjallah Marc Schoenauer Patrick Gallinari AI4CE 19 2 0 03 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 32 20 0 01 Mar 2024
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems Zijie Huang Jeehyun Hwang Junkai Zhang Jinwoo Baik Weitong Zhang Dominik Wodarz Yizhou Sun Q. Gu Wei Wang CML AI4CE 44 4 0 29 Feb 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 32 5 0 27 Feb 2024
Bayesian Differentiable Physics for Cloth Digitalization Deshan Gong Ningtao Mao He-Nan Wang AI4CE 29 0 0 27 Feb 2024
Hybrid $^2$ Neural ODE Causal Modeling and an Application to Glycemic Response Bob Junyi Zou Matthew E. Levine D. Zaharieva Ramesh Johari Emily Fox 33 4 0 27 Feb 2024
Generative Learning for Forecasting the Dynamics of Complex Systems Han Gao Sebastian Kaltenbach P. Koumoutsakos AI4TS AI4CE 32 6 0 27 Feb 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 40 8 0 19 Feb 2024
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes Tobias Würth Niklas Freymuth C. Zimmerling Gerhard Neumann Luise Kärger AI4CE 24 1 0 16 Feb 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks Jonas Kneifl Jörg Fehr Steven L. Brunton J. Nathan Kutz AI4CE 22 1 0 14 Feb 2024
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids S. Cho Jae Yong Lee Hyung Ju Hwang GNN AI4CE 16 3 0 13 Feb 2024
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur P. Toshev Jonas A. Erbesdobler Nikolaus A. Adams Johannes Brandstetter AI4CE 38 4 0 09 Feb 2024
Social Physics Informed Diffusion Model for Crowd Simulation Hongyi Chen Jingtao Ding Yong Li Yue Wang Xiao-Ping Zhang AI4CE 34 12 0 08 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 31 2 0 07 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núnez 28 11 0 06 Feb 2024
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together? Hans Riess M. Veveakis Michael M. Zavlanos 18 2 0 05 Feb 2024