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"

27 / 327 papers shown

Title
Graph Neural Processes: Towards Bayesian Graph Neural Networks Andrew N. Carr David Wingate BDL 28 12 0 26 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 27 89 0 25 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 22 385 0 23 Feb 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak Chris Xiaoxuan Lu Trevor Darrell Phillip Isola Alexei A. Efros 12 128 0 14 Feb 2019
Differentiable Physics-informed Graph Networks Sungyong Seo Yan Liu PINN AI4CE 17 67 0 08 Feb 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 28 854 0 18 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 11 227 0 06 Jan 2019
Learning Generalizable Physical Dynamics of 3D Rigid Objects Davis Rempe Srinath Sridhar He-Nan Wang Leonidas J. Guibas AI4CE 14 2 0 02 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,397 0 20 Dec 2018
Modular meta-learning in abstract graph networks for combinatorial generalization Ferran Alet Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling GNN 16 3 0 19 Dec 2018
Approximating the solution to wave propagation using deep neural networks Matthias Limmer Stef Garasto F. Schüle R. Schweiger Anil A. Bharath 21 21 0 04 Dec 2018
Spatio-Temporal Action Graph Networks Roei Herzig Elad Levi Huijuan Xu Hang Gao Eli Brosh Xiaolong Wang Amir Globerson Trevor Darrell GNN 16 20 0 04 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 11 100 0 24 Nov 2018
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks Guillaume Jaume Behzad Bozorgtabar H. K. Ekenel Jean-Philippe Thiran M. Gabrani 21 2 0 09 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 15 11 0 01 Nov 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Z. Ren Eric Zhao Jiliang Tang Dawei Yin GNN 11 236 0 24 Oct 2018
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs B. Ivanovic Marco Pavone 19 1 0 14 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 27 387 0 03 Oct 2018
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Yuanming Hu Jiancheng Liu Andrew Spielberg J. Tenenbaum William T. Freeman Jiajun Wu Daniela Rus Wojciech Matusik AI4CE 9 260 0 02 Oct 2018
Propagation Networks for Model-Based Control Under Partial Observation Yunzhu Li Jiajun Wu Jun-Yan Zhu J. Tenenbaum Antonio Torralba Russ Tedrake AI4CE 6 137 0 28 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 21 68 0 12 Jul 2018
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo Huazhe Xu Yuanzhi Li Yuandong Tian Trevor Darrell Tengyu Ma OffRL 39 223 0 10 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 91 3,077 0 04 Jun 2018
Unsupervised Intuitive Physics from Visual Observations Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi SSL PINN OOD 11 31 0 14 May 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 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 278 1,400 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 244 3,236 0 24 Nov 2016