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
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models Wenlong Huang Chen Wang Ruohan Zhang Yunzhu Li Jiajun Wu Li Fei-Fei LM&Ro 33 479 0 12 Jul 2023
Machine learning for advancing low-temperature plasma modeling and simulation J. Trieschmann Luca Vialetto T. Gergs AI4CE 16 4 0 30 Jun 2023
Dynamic-Resolution Model Learning for Object Pile Manipulation Yixuan Wang Yunzhu Li Katherine Driggs-Campbell Li Fei-Fei Jiajun Wu 32 18 0 29 Jun 2023
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools Haochen Shi Huazhe Xu Samuel Clarke Yunzhu Li Jiajun Wu LM&Ro 22 56 0 26 Jun 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 32 30 0 24 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard E. Turner OffRL 19 1 0 23 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 32 1 0 15 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 20 10 0 13 Jun 2023
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition Yu-Hsuan Chen L. Kara Jonathan Cagan 28 3 0 05 Jun 2023
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems Hongde Wu Sen Yan Mingming Liu GNN AI4TS 12 0 0 02 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 23 24 0 01 Jun 2023
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding Nicolas Keriven Samuel Vaiter 31 11 0 24 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 54 3 0 23 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs Guangsi Shi Daokun Zhang Ming Jin Shirui Pan Philip S. Yu AI4CE 24 4 0 21 May 2023
A Generalist Dynamics Model for Control Ingmar Schubert Jingwei Zhang Jake Bruce Sarah Bechtle Emilio Parisotto Martin Riedmiller Jost Tobias Springenberg Arunkumar Byravan Leonard Hasenclever N. Heess AI4CE 33 28 0 18 May 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Saurabh Sihag Fangchang Ma Corey McMillan Angela Dai 38 3 0 02 May 2023
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search Abu Reyan Ahmed Mithun Ghosh Kwang-Sung Jun Stephen Kobourov 14 0 0 30 Apr 2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention M. Takamoto Francesco Alesiani Mathias Niepert 53 19 0 27 Apr 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 58 8 0 22 Apr 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini C. Alippi 22 0 0 11 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 38 5 0 06 Apr 2023
Knowledge Enhanced Graph Neural Networks for Graph Completion Luisa Werner Nabil Layaïda P. Genevès Sarah Chlyah 11 3 0 27 Mar 2023
Causal Temporal Graph Convolutional Neural Networks (CTGCN) Abigail Langbridge Fearghal O'Donncha Amadou Ba Fabio Lorenzi Christopher Lohse J. Ploennigs GNN 15 1 0 16 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 31 3 0 07 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 35 0 0 02 Mar 2023
Object Reconfiguration with Simulation-Derived Feasible Actions Yiyuan Lee Wil Thomason Zachary K. Kingston Lydia E. Kavraki AI4CE 16 3 0 27 Feb 2023
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains Jingwei Zhang Jost Tobias Springenberg Arunkumar Byravan Leonard Hasenclever A. Abdolmaleki Dushyant Rao N. Heess Martin Riedmiller 14 5 0 24 Feb 2023
Grounding Graph Network Simulators using Physical Sensor Observations Jonas Linkerhägner Niklas Freymuth Paul Maria Scheikl F. Mathis-Ullrich Gerhard Neumann AI4CE 24 11 0 23 Feb 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 34 2 0 06 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations Jinjiang Guo Jie Li 27 0 0 02 Feb 2023
Learning Vortex Dynamics for Fluid Inference and Prediction Yitong Deng Hong-Xing Yu Jiajun Wu Bo Zhu MDE 29 19 0 27 Jan 2023
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network Mingyi Liu Zhiying Tu Xiaofei Xu Zhongjie Wang AI4TS 15 2 0 20 Jan 2023
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations Rui Gao Indu Kant Deo R. Jaiman AI4CE 23 19 0 30 Dec 2022
GraphCast: Learning skillful medium-range global weather forecasting Rémi R. Lam Alvaro Sanchez-Gonzalez Matthew Willson Peter Wirnsberger Meire Fortunato ... Oriol Vinyals Jacklynn Stott Alexander Pritzel S. Mohamed Peter W. Battaglia AI4Cl 16 274 0 24 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 19 5 0 17 Dec 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions F. Bonnet Jocelyn Ahmed Mazari Paola Cinnella Patrick Gallinari AI4CE 25 54 0 15 Dec 2022
Learning rigid dynamics with face interaction graph networks Kelsey R. Allen Yulia Rubanova Tatiana López-Guevara William F. Whitney Alvaro Sanchez-Gonzalez Peter W. Battaglia Tobias Pfaff 3DH GNN AI4CE 34 34 0 07 Dec 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 27 62 0 28 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 55 0 01 Nov 2022
Learning Modular Robot Visual-motor Locomotion Policies Julian Whitman Howie Choset 19 1 0 31 Oct 2022
Sample Efficient Dynamics Learning for Symmetrical Legged Robots:Leveraging Physics Invariance and Geometric Symmetries Jee-eun Lee Jaemin Lee T. Bandyopadhyay Luis Sentis DRL 25 2 0 13 Oct 2022
Learning Physical Dynamics with Subequivariant Graph Neural Networks Jiaqi Han Wenbing Huang Hengbo Ma Jiachen Li J. Tenenbaum Chuang Gan AI4CE PINN 32 43 0 13 Oct 2022
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models Ziyi Wu Nikita Dvornik Klaus Greff Thomas Kipf Animesh Garg OCL BDL 64 90 0 12 Oct 2022
MAgNet: Mesh Agnostic Neural PDE Solver Oussama Boussif D. Assouline L. Benabbou Yoshua Bengio AI4CE 100 28 0 11 Oct 2022
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN Yadi Cao Menglei Chai Minchen Li Chenfanfu Jiang AI4CE 27 18 0 05 Oct 2022
Dynamic Inference on Graphs using Structured Transition Models Saumya Saxena Oliver Kroemer AI4CE 28 0 0 29 Sep 2022
Material Prediction for Design Automation Using Graph Representation Learning Shijie Bian Daniele Grandi Kaveh Hassani Elliot Sadler Bodia Borijin ... Andrew Wang Thomas Lu R. Otis Nhut Ho Bingbing Li AI4CE 22 4 0 26 Sep 2022
A Generalist Neural Algorithmic Learner Borja Ibarz Vitaly Kurin George Papamakarios Kyriacos Nikiforou Mehdi Abbana Bennani ... Andreea Deac Beatrice Bevilacqua Yaroslav Ganin Charles Blundell Petar Velivcković OOD 24 53 0 22 Sep 2022
EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics A. Longhini Marco Moletta Alfredo Reichlin Michael C. Welle David Held Zackory M. Erickson Danica Kragic AI4CE 22 20 0 19 Sep 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 23 2 0 14 Sep 2022