Graph networks as learnable physics engines for inference and control

4 June 2018

Alvaro Sanchez-Gonzalez

N. Heess

Jost Tobias Springenberg

Martin Riedmiller

Papers citing "Graph networks as learnable physics engines for inference and control"

50 / 327 papers shown

Title
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 45 20 0 12 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 82 0 07 Sep 2022
Wavelet-based Loss for High-frequency Interface Dynamics L. Prantl Jan Bender Tassilo Kugelstadt Nils Thuerey GAN 18 0 0 06 Sep 2022
Deep convolutional surrogates and degrees of freedom in thermal design Hadi Keramati F. Hamdullahpur AI4CE 31 0 0 16 Aug 2022
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems Hai V. Nguyen T. Bui-Thanh 28 2 0 09 Aug 2022
Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar Jonathan Zamora Nicklas Hansen Rishabh Jangir Xiaolong Wang 27 53 0 28 Jul 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling Hongkang Li M. Wang Sijia Liu Pin-Yu Chen Jinjun Xiong GNN 16 27 0 07 Jul 2022
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations F. Bonnet Jocelyn Ahmed Mazari T. Munzer P. Yser Patrick Gallinari AI4CE 51 10 0 29 Jun 2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara Rex Ying Zitao Zhang Zhihao Han Yinan Shan U. Brandes S. Schemm Ce Zhang 21 49 0 20 Jun 2022
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology Brandon Trabucco Mariano Phielipp Glen Berseth 26 27 0 17 Jun 2022
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking Alessandro Saviolo Guanrui Li Giuseppe Loianno 11 49 0 07 Jun 2022
Pre-training via Denoising for Molecular Property Prediction Sheheryar Zaidi Michael Schaarschmidt James Martens Hyunjik Kim Yee Whye Teh Alvaro Sanchez-Gonzalez Peter W. Battaglia Razvan Pascanu Jonathan Godwin DiffM AI4CE 15 121 0 31 May 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning Yue Jin Shuangqing Wei Jian Yuan Xudong Zhang 10 0 0 23 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 627 0 20 May 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction Yining Hong Kaichun Mo L. Yi Leonidas J. Guibas Antonio Torralba J. Tenenbaum Chuang Gan 24 5 0 05 May 2022
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics Mario Lino Stati Fotiadis Anil A. Bharath C. Cantwell AI4CE 14 3 0 05 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 11 12 0 05 May 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin Zhiao Huang Yunzhu Li J. Tenenbaum David Held Chuang Gan 20 72 0 31 Mar 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 34 55 0 31 Mar 2022
Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes M. Michelis Robert K. Katzschmann AI4CE 27 1 0 30 Mar 2022
Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints Xinghao Zhu Siddarth Jain M. Tomizuka J. Baar 3DH 8 11 0 29 Mar 2022
MetaMorph: Learning Universal Controllers with Transformers Agrim Gupta Linxi Fan Surya Ganguli Li Fei-Fei LM&Ro 11 85 0 22 Mar 2022
Inferring Articulated Rigid Body Dynamics from RGBD Video Eric Heiden Ziang Liu Vibhav Vineet Erwin Coumans Gaurav Sukhatme PINN AI4CE 25 11 0 20 Mar 2022
Graph Neural Networks for Multiparallel Word Alignment Ayyoob Imani Lutfi Kerem cSenel Masoud Jalili Sabet François Yvon Hinrich Schütze 16 5 0 16 Mar 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning Seyed Kamyar Seyed Ghasemipour Daniel Freeman Byron David S. Gu Satoshi Kataoka Igor Mordatch OffRL 27 25 0 15 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 19 8 0 14 Mar 2022
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method Alvin C M Shek Bo Ying Su Rui Chen Changliu Liu 14 5 0 09 Mar 2022
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases Mingxiao Li Yihong Tang Wei-Ying Ma GNN AI4TS 21 9 0 08 Mar 2022
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data Kun Wang Mridul Aanjaneya Kostas Bekris 19 5 0 28 Feb 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 116 85 0 24 Feb 2022
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks Tianju Xue S. Adriaenssens S. Mao AI4CE 9 26 0 24 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 37 50 0 22 Feb 2022
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics Ke Sun Stephen M. Chaves Paul D. Martin Vijay R. Kumar GNN 38 1 0 21 Feb 2022
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation Alireza Rezazadeh Changhyun Choi SSL 3DPC 22 3 0 18 Feb 2022
Factored World Models for Zero-Shot Generalization in Robotic Manipulation Ondrej Biza Thomas Kipf David M. Klee Robert W. Platt Jan Willem van de Meent Lawson L. S. Wong LM&Ro 14 9 0 10 Feb 2022
Transferable and Adaptable Driving Behavior Prediction Letian Wang Yeping Hu Liting Sun Wei Zhan M. Tomizuka Changliu Liu 32 25 0 10 Feb 2022
A Graph Neural Network Framework for Grid-Based Simulation Haoyu Tang Wennan Long 9 0 0 05 Feb 2022
Physical Design using Differentiable Learned Simulators Kelsey R. Allen Tatiana López-Guevara Kimberly L. Stachenfeld Alvaro Sanchez-Gonzalez Peter W. Battaglia Jessica B. Hamrick Tobias Pfaff AI4CE 19 42 0 01 Feb 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 14 4 0 28 Jan 2022
Neural Information Squeezer for Causal Emergence Jiang Zhang Kaiwei Liu CML 22 14 0 25 Jan 2022
Predicting Physics in Mesh-reduced Space with Temporal Attention Xu Han Han Gao Tobias Pfaff Jian-Xun Wang Liping Liu AI4CE 19 73 0 22 Jan 2022
Graph Neural Networks for Cross-Camera Data Association Elena Luna Juan C. Sanmiguel Jose M. Martínez Pablo Carballeira 16 21 0 17 Jan 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
Physics-guided Learning-based Adaptive Control on the SE(3) Manifold T. Duong Nikolay A. Atanasov PINN DRL AI4CE 31 0 0 12 Jan 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 24 8 0 04 Jan 2022
Learned Coarse Models for Efficient Turbulence Simulation Kimberly L. Stachenfeld D. Fielding Dmitrii Kochkov M. Cranmer Tobias Pfaff Jonathan Godwin Can Cui S. Ho Peter W. Battaglia Alvaro Sanchez-Gonzalez AI4CE 27 77 0 31 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 21 91 0 24 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 0 16 Dec 2021
Graph network for learning bi-directional physics Sakthi Kumar Arul Prakash Conrad S. Tucker PINN AI4CE 14 2 0 13 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao-quan Song Zheng Yu Danyang Zhuo 23 6 0 04 Dec 2021