Learning to Simulate Complex Physics with Graph Networks

21 February 2020

Alvaro Sanchez-Gonzalez

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

45 / 595 papers shown

Title
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems Laurent Pagnier Michael Chertkov 34 49 0 12 Feb 2021
Spherical Message Passing for 3D Graph Networks Yi Liu Limei Wang Meng Liu Xuan Zhang Bora Oztekin Shuiwang Ji GNN 14 197 0 09 Feb 2021
Object and Relation Centric Representations for Push Effect Prediction Ahmet E. Tekden Aykut Erdem Erkut Erdem Tamim Asfour Emre Ugur 21 15 0 03 Feb 2021
Graph Coarsening with Neural Networks Chen Cai Dingkang Wang Yusu Wang DD 22 66 0 02 Feb 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 13 824 0 28 Jan 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 31 53 0 27 Jan 2021
Directed Acyclic Graph Neural Networks Veronika Thost Jie Chen GNN AI4CE 11 104 0 20 Jan 2021
DiffPD: Differentiable Projective Dynamics Tao Du Kui Wu Pingchuan Ma Sebastien Wah Andrew Spielberg Daniela Rus Wojciech Matusik 13 94 0 15 Jan 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 18 719 0 17 Dec 2020
Dataset of Random Relaxations for Crystal Structure Search of Li-Si System Gowoon Cheon Lusann Yang Kevin McCloskey E. Reed E. D. Cubuk 8 0 0 05 Dec 2020
Graph Convolutional Neural Networks for Body Force Prediction Francis Ogoke Kazem Meidani Amirreza Hashemi A. Farimani GNN AI4CE 6 60 0 03 Dec 2020
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves C. Heaney Yuling Li Omar K. Matar Christopher C. Pain AI4CE 6 14 0 24 Nov 2020
Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention Johannes Pöppelbaum Andreas Schwung 6 13 0 17 Nov 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators H. Tung Xian Zhou Mihir Prabhudesai Shamit Lal Katerina Fragkiadaki 12 28 0 12 Nov 2020
NeuralSim: Augmenting Differentiable Simulators with Neural Networks Eric Heiden David Millard Erwin Coumans Yizhou Sheng Gaurav Sukhatme 11 136 0 09 Nov 2020
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 21 33 0 03 Nov 2020
Multi-agent Trajectory Prediction with Fuzzy Query Attention Nitin Kamra Hao Zhu Dweep Trivedi Ming Zhang Yan Liu AI4CE 19 31 0 29 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin G. Walters Jinxi Li Rose Yu 13 43 0 21 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 157 123 0 17 Oct 2020
Scalable Graph Networks for Particle Simulations Karolis Martinkus Aurélien Lucchi Nathanael Perraudin AI4CE 12 11 0 14 Oct 2020
Hierarchical Relational Inference Aleksandar Stanić Sjoerd van Steenkiste Jürgen Schmidhuber OCL 14 15 0 07 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 35 740 0 07 Oct 2020
Transformers for Modeling Physical Systems N. Geneva N. Zabaras AI4CE 6 138 0 04 Oct 2020
The Role of Isomorphism Classes in Multi-Relational Datasets Vijja Wichitwechkarn Ben Day Cristian Bodnar Matthew Wales Pietro Lió 35 0 0 30 Sep 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi-An Ma Jitendra Malik 22 56 0 05 Aug 2020
Hypersolvers: Toward Fast Continuous-Depth Models Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park BDL AI4CE 6 46 0 19 Jul 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects Evan Racah Sarath Chandar OCL DRL 19 14 0 18 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories Ruichao Xiao Manish Kumar Singh Rose Yu 28 2 0 16 Jul 2020
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap Eric Heiden David Millard Erwin Coumans Gaurav Sukhatme 14 21 0 12 Jul 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar D. Fox Animesh Garg CML 8 102 0 01 Jul 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um R. Brand Yun Fei Fei Philipp Holl N. Thürey AI4CE 8 256 0 30 Jun 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 21 817 0 26 Jun 2020
Learning Physical Graph Representations from Visual Scenes Daniel M. Bear Chaofei Fan Damian Mrowca Yunzhu Li S. Alter ... Jeremy Schwartz Li Fei-Fei Jiajun Wu J. Tenenbaum Daniel L. K. Yamins SSL GNN SSeg AI4CE 35 78 0 22 Jun 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 6 462 0 19 Jun 2020
Forward Prediction for Physical Reasoning Rohit Girdhar Laura Gustafson Aaron B. Adcock L. V. D. van der Maaten LRM AI4CE 25 20 0 18 Jun 2020
Pointer Graph Networks Petar Velivcković Lars Buesing Matthew Overlan Razvan Pascanu Oriol Vinyals Charles Blundell GNN 22 62 0 11 Jun 2020
Accurately Solving Physical Systems with Graph Learning Han Shao Tassilo Kugelstadt Torsten Hädrich Wojciech Palubicki Jan Bender Soren Pirk D. L. Michels AI4CE 6 6 0 06 Jun 2020
Data-Driven Continuum Dynamics via Transport-Teleport Duality Jong-Hoon Ahn AI4CE 6 0 0 27 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 8 23 0 13 May 2020
Visual Grounding of Learned Physical Models Yunzhu Li Toru Lin Kexin Yi Daniel M. Bear Daniel L. K. Yamins Jiajun Wu J. Tenenbaum Antonio Torralba OOD OCL AI4CE PINN 21 79 0 28 Apr 2020
Should I tear down this wall? Optimizing social metrics by evaluating novel actions János Kramár Neil C. Rabinowitz Tom Eccles Andrea Tacchetti 9 5 0 16 Apr 2020
Learning to simulate and design for structural engineering Kai-Hung Chang Chin-Yi Cheng AI4CE 28 49 0 20 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 186 913 0 02 Mar 2020
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,400 0 01 Dec 2016