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
Vision-based system identification and 3D keypoint discovery using dynamics constraints Miguel Jaques Martin Asenov Michael G. Burke Timothy M. Hospedales 22 4 0 13 Sep 2021
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery Yasmin Salehi D. Giannacopoulos AI4CE 10 27 0 09 Sep 2021
GNisi: A graph network for reconstructing Ising models from multivariate binarized data E. Slade Sonya Kiselgof L. Granovsky Jeremy L. England 12 0 0 09 Sep 2021
An FEA surrogate model with Boundary Oriented Graph Embedding approach XingYu Fu Fengfeng Zhou Dheeraj Peddireddy Zhengyang Kang M. Jun Vaneet Aggarwal AI4CE 48 2 0 30 Aug 2021
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence J. Mianroodi Shahed Rezaei N. Siboni Bai-Xiang Xu Dierk Raabe AI4CE 8 30 0 05 Aug 2021
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels S. Mohammadzadeh Emma Lejeune AI4CE 23 28 0 24 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 22 25 0 20 Jul 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 11 15 0 19 Jul 2021
SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics Joao Damiao Almeida Paul Schydlo Atabak Dehban J. Santos-Victor 17 6 0 18 Jul 2021
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems Shaan Desai M. Mattheakis David Sondak P. Protopapas Stephen J. Roberts AI4CE 17 43 0 16 Jul 2021
Classifying Component Function in Product Assemblies with Graph Neural Networks Vincenzo Ferrero Kaveh Hassani Daniele Grandi Bryony DuPont 15 6 0 08 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 28 64 0 02 Jul 2021
Generalization and Robustness Implications in Object-Centric Learning Andrea Dittadi Samuele Papa Michele De Vita Bernhard Schölkopf Ole Winther Francesco Locatello OCL OOD 19 74 0 01 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data Charilaos Mylonas I. Abdallah Eleni Chatzi BDL 6 1 0 30 Jun 2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto 11 14 0 24 Jun 2021
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks Jiaqing Xie Rex Ying GNN 12 3 0 24 Jun 2021
Boundary Graph Neural Networks for 3D Simulations Andreas Mayr Sebastian Lehner A. Mayrhofer C. Kloss Sepp Hochreiter Johannes Brandstetter AI4CE 9 33 0 21 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 42 86 0 15 Jun 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 31 61 0 15 Jun 2021
Long-time integration of parametric evolution equations with physics-informed DeepONets Sifan Wang P. Perdikaris AI4CE 17 117 0 09 Jun 2021
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact Yifei Li Tao Du Kui Wu Jie Xu Wojciech Matusik 14 90 0 09 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks Mario Lino C. Cantwell Anil A. Bharath Stathi Fotiadis AI4CE 23 48 0 09 Jun 2021
Encoding physics to learn reaction-diffusion processes Chengping Rao Pu Ren Qi Wang O. Buyukozturk Haoqin Sun Yang Liu PINN AI4CE DiffM 25 77 0 09 Jun 2021
Deep Bayesian Active Learning for Accelerating Stochastic Simulation D. Wu Ruijia Niu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 25 8 0 05 Jun 2021
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo Qiang Liu Yuntian Chen Wenbo Hu Tian Tian Jun Zhu DiffM 45 4 0 02 Jun 2021
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks Friedrich Bethke R. Pausch Patrick Stiller A. Debus Michael Bussmann Nico Hoffmann 18 2 0 01 Jun 2021
Symmetry-driven graph neural networks Francesco Farina E. Slade 18 4 0 28 May 2021
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification Vinicius L. S. Silva C. Heaney N. Nenov Christopher C. Pain AI4CE 17 3 0 28 May 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks Lukas Harsch S. Riedelbauch AI4CE 55 12 0 06 May 2021
Learning 3D Granular Flow Simulations Andreas Mayr Sebastian Lehner A. Mayrhofer C. Kloss Sepp Hochreiter Johannes Brandstetter AI4CE 11 2 0 04 May 2021
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks Franz M. Rohrhofer S. Posch C. Gößnitzer Bernhard C. Geiger PINN 23 39 0 03 May 2021
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects Xiao Ma David Hsu W. Lee AI4CE 30 28 0 25 Apr 2021
One-shot learning for solution operators of partial differential equations Priya Kasimbeg Haiyang He Rishikesh Ranade Jay Pathak Lu Lu AI4CE 13 11 0 06 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio' Nicholas D. Lane 32 34 0 03 Apr 2021
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation Pingchuan Ma Tao Du John Z. Zhang Kui Wu Andrew Spielberg Robert K. Katzschmann Wojciech Matusik 33 37 0 02 Apr 2021
Photoacoustic image synthesis with generative adversarial networks Melanie Schellenberg J. Gröhl Kris K. Dreher Jan-Hinrich Nolke Niklas Holzwarth M. Tizabi A. Seitel Lena Maier-Hein GAN MedIm 14 17 0 29 Mar 2021
Beyond permutation equivariance in graph networks E. Slade Francesco Farina 21 3 0 25 Mar 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 16 118 0 23 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 21 398 0 17 Mar 2021
Rapid parameter estimation of discrete decaying signals using autoencoder networks J. Visschers D. Budker L. Bougas 11 3 0 10 Mar 2021
Graph Convolutional Embeddings for Recommender Systems P. G. Duran Alexandros Karatzoglou Jordi Vitrià Xin Xin Ioannis Arapakis GNN AI4TS 16 11 0 05 Mar 2021
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations Weihua Hu Muhammed Shuaibi Abhishek Das Siddharth Goyal Anuroop Sriram J. Leskovec Devi Parikh C. L. Zitnick GNN AI4CE 27 67 0 02 Mar 2021
A Deep Emulator for Secondary Motion of 3D Characters Mianlun Zheng Yi Zhou Duygu Ceylan J. Barbič 3DH 17 25 0 01 Mar 2021
Identifying Physical Law of Hamiltonian Systems via Meta-Learning Seungjun Lee Haesang Yang W. Seong 17 13 0 23 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 24 316 0 22 Feb 2021
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations Jonas Zehnder Yue Li Stelian Coros B. Thomaszewski AI4CE 9 58 0 22 Feb 2021
Physical Reasoning Using Dynamics-Aware Models Eltayeb Ahmed A. Bakhtin L. V. D. van der Maaten Rohit Girdhar LRM 11 3 0 20 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 30 346 0 18 Feb 2021
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning Félix Chalumeau Ilan Coulon Quentin Cappart Louis-Martin Rousseau 36 21 0 18 Feb 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty 52 34 0 12 Feb 2021