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
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 29 79 0 28 Apr 2020
Epitomic Variational Graph Autoencoder R. A. Khan Muhammad Umer Anwaar M. Kleinsteuber BDL 30 10 0 03 Apr 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context Wenyu Zhang Skyler Seto Devesh K. Jha 18 5 0 26 Mar 2020
Learning to simulate and design for structural engineering Kai-Hung Chang Chin-Yi Cheng AI4CE 28 49 0 20 Mar 2020
Hybrid modeling: Applications in real-time diagnosis Ion Matei Johan de Kleer A. Feldman R. Rai Souma Chowdhury AI4CE 13 4 0 04 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 914 0 02 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 51 1,046 0 21 Feb 2020
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN AI4CE 21 78 0 20 Feb 2020
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics David Millard Eric Heiden Shubham Agrawal Gaurav Sukhatme AI4CE 11 12 0 22 Jan 2020
Predicting the Physical Dynamics of Unseen 3D Objects Davis Rempe Srinath Sridhar He-Nan Wang Leonidas J. Guibas AI4CE 14 8 0 16 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang Ling Chen Fan Zhou Yusong Gao Wei Cao 22 8 0 13 Jan 2020
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 19 278 0 27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations Chen Wang Chengyuan Deng Vladimir A. Ivanov GNN DRL 19 6 0 27 Nov 2019
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 39 154 0 18 Nov 2019
Feature Selection and Extraction for Graph Neural Networks D. Acharya Huaming Zhang 16 28 0 23 Oct 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 19 111 0 18 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 21 70 0 06 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving M. Huegle Gabriel Kalweit M. Werling Joschka Boedecker 3DPC 19 37 0 30 Sep 2019
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes Jiacheng Pan Hongyi Sun Kecheng Xu Yifei Jiang Xiangquan Xiao Jiangtao Hu Jinghao Miao 11 35 0 29 Sep 2019
Hamiltonian Graph Networks with ODE Integrators Alvaro Sanchez-Gonzalez V. Bapst Kyle Cranmer Peter W. Battaglia AI4CE 15 176 0 27 Sep 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 31 267 0 26 Sep 2019
Can $Q$ -Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? Vitaly Kurin Saad Godil Shimon Whiteson Bryan Catanzaro NAI 13 28 0 26 Sep 2019
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions Boris Knyazev Carolyn Augusta Graham W. Taylor 24 30 0 23 Sep 2019
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 183 83 0 12 Sep 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Yuting Ye Xuwu Wang Jiangchao Yao Kunyang Jia Jingren Zhou Yanghua Xiao Hongxia Yang BDL 12 26 0 28 Aug 2019
Progressive Relation Learning for Group Activity Recognition Guyue Hu Bo Cui Yuan He Shan Yu 14 81 0 08 Aug 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling Yuping Luo Huazhe Xu Tengyu Ma SSL 13 13 0 12 Jul 2019
Graph-Structured Visual Imitation Maximilian Sieb Xian Zhou Audrey Huang Oliver Kroemer Katerina Fragkiadaki 17 65 0 11 Jul 2019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning M. Lutter Christian Ritter Jan Peters PINN AI4CE 4 370 0 10 Jul 2019
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems M. Lutter Kim D. Listmann Jan Peters PINN 8 71 0 10 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 22 355 0 06 Jul 2019
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics Sebastian Riedel F. Stulp 14 7 0 27 Jun 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 9 263 0 31 May 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 18 239 0 30 May 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 25 2 0 30 May 2019
Unsupervised Intuitive Physics from Past Experiences Sébastien Ehrhardt Áron Monszpart Niloy J. Mitra Andrea Vedaldi OOD PINN AI4CE SSL 29 2 0 26 May 2019
Interactive Differentiable Simulation Eric Heiden David Millard Hejia Zhang Gaurav Sukhatme OOD AI4CE PINN 6 50 0 26 May 2019
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks Michael D Kissner Helmut A. Mayer OCL PINN 16 2 0 23 May 2019
Function Space Pooling For Graph Convolutional Networks P. Corcoran GNN 23 3 0 15 May 2019
Can NetGAN be improved on short random walks? Amir Jalilifard Vinicius Fernandes Caridá Alex F. Mansano Rogers Cristo 9 3 0 13 May 2019
Universal Invariant and Equivariant Graph Neural Networks Nicolas Keriven Gabriel Peyré 13 284 0 13 May 2019
Time-Series Event Prediction with Evolutionary State Graph Wenjie Hu Yang Yang Zilong You Zongtao Liu Xiang Ren AI4TS 17 1 0 10 May 2019
Are Graph Neural Networks Miscalibrated? Leonardo Teixeira B. Jalaeian Bruno Ribeiro AI4CE 16 22 0 07 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
Combining Physical Simulators and Object-Based Networks for Control Anurag Ajay Maria Bauzá Jiajun Wu Nima Fazeli J. Tenenbaum Alberto Rodriguez L. Kaelbling AI4CE 12 44 0 13 Apr 2019
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs Woojeong Jin Changlin Zhang Pedro A. Szekely Xiang Ren GNN 11 60 0 11 Apr 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 30 99 0 05 Apr 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 25 272 0 28 Feb 2019
Differentiable Scene Graphs Moshiko Raboh Roei Herzig Gal Chechik Jonathan Berant Amir Globerson OCL 19 34 0 26 Feb 2019