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
Identifying Physical Law of Hamiltonian Systems via Meta-Learning Seungjun Lee Haesang Yang W. Seong 22 13 0 23 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
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction Jinjiang Guo Jie Li Dawei Leng Lurong Pan 9 2 0 28 Jan 2021
Neural Relational Inference with Efficient Message Passing Mechanisms Siyuan Chen Jiahai Wang Guoqing Li 18 18 0 23 Jan 2021
Graph Networks with Spectral Message Passing Kimberly L. Stachenfeld Jonathan Godwin Peter W. Battaglia 25 12 0 31 Dec 2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics Minne Li Mengyue Yang Furui Liu Xu Chen Zhitang Chen Jun Wang SyDa CML 25 12 0 28 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 11 86 0 14 Dec 2020
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation Keita Ota Devesh K. Jha Diego Romeres J. Baar Kevin A. Smith Takayuki Semitsu Tomoaki Oiki Alan Sullivan D. Nikovski J. Tenenbaum 17 5 0 14 Nov 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators H. Tung Xian Zhou Mihir Prabhudesai Shamit Lal Katerina Fragkiadaki 17 28 0 12 Nov 2020
Sparsely constrained neural networks for model discovery of PDEs G. Both Gijs Vermarien R. Kusters 6 5 0 09 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 0 04 Nov 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 28 34 0 03 Nov 2020
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 29 33 0 03 Nov 2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals Tongzhou Mu Jiayuan Gu Zhiwei Jia Hao Tang Hao Su 11 13 0 26 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks Hao Tang Zhiao Huang Jiayuan Gu Bao-Liang Lu Hao Su AI4CE 17 9 0 26 Oct 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo Kimin Lee I. Clavera Thanard Kurutach Jinwoo Shin Pieter Abbeel 10 36 0 26 Oct 2020
Scalable Graph Networks for Particle Simulations Karolis Martinkus Aurélien Lucchi Nathanael Perraudin AI4CE 17 11 0 14 Oct 2020
Hierarchical Relational Inference Aleksandar Stanić Sjoerd van Steenkiste Jürgen Schmidhuber OCL 30 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
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 14 80 0 05 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 27 225 0 30 Sep 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 6 305 0 24 Sep 2020
Latent State Inference in a Spatiotemporal Generative Model Matthias Karlbauer Tobias Menge S. Otte Hendrik P. A. Lensch Thomas Scholten V. Wulfmeyer Martin Volker Butz 23 1 0 21 Sep 2020
Zero-Shot Multi-View Indoor Localization via Graph Location Networks Meng-Jiun Chiou Zhenguang Liu Yifang Yin Anan Liu Roger Zimmermann 6 23 0 06 Aug 2020
A Neural-Symbolic Framework for Mental Simulation Michael D Kissner 14 0 0 05 Aug 2020
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting of Loop Current Yu Huang Yufei Tang H. Zhuang James H. VanZwieten Laurent Chérubin AI4TS 6 12 0 04 Aug 2020
SimuLearn: Fast and Accurate Simulator to Support Morphing Materials Design and Workflows Humphrey Yang Kuanren Qian Haolin Liu Yuxuan Yu Jianzhe Gu Matthew McGehee Y. Zhang Lining Yao AI4CE 9 19 0 29 Jul 2020
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs Fanfei Chen John D. Martin Yewei Huang Jinkun Wang Brendan Englot 10 59 0 24 Jul 2020
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning Xuandong Zhao J. Xue Jin Yu Xi Li Hongxia Yang 6 1 0 19 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 26 67 0 16 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 37 164 0 09 Jul 2020
Evaluating the Apperception Engine Richard Evans Jose Hernandez-Orallo Johannes Welbl Pushmeet Kohli Marek Sergot 22 4 0 09 Jul 2020
Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin PINN AI4CE 20 118 0 04 Jul 2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control Yaofeng Desmond Zhong Naomi Ehrich Leonard DRL AI4CE 17 43 0 03 Jul 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar D. Fox Animesh Garg CML 16 102 0 01 Jul 2020
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation Jyoti Narwariya Pankaj Malhotra T. Vishnu L. Vig Gautam M. Shroff AI4CE 6 21 0 30 Jun 2020
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 23 118 0 26 Jun 2020
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 20 25 0 23 Jun 2020
Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments Patrick Hart Alois Knoll GNN 11 37 0 22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola C. Alippi GNN 8 154 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 17 462 0 19 Jun 2020
Quantifying Challenges in the Application of Graph Representation Learning Antonia Gogoglou C. B. Bruss Brian Nguyen Reza Sarshogh Keegan E. Hines 6 2 0 18 Jun 2020
Learning continuous-time PDEs from sparse data with graph neural networks V. Iakovlev Markus Heinonen Harri Lähdesmäki AI4CE 16 68 0 16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 8 11 0 15 Jun 2020
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds Duo Wang M. Jamnik Pietro Lió OOD 8 1 0 15 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 13 1,271 0 10 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 14 6 0 06 Jun 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 27 124 0 14 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