Learning to Simulate Complex Physics with Graph Networks

21 February 2020

Alvaro Sanchez-Gonzalez

Papers citing "Learning to Simulate Complex Physics with Graph Networks"

50 / 595 papers shown

Title
Graph Neural Networks with Precomputed Node Features Béni Egressy Roger Wattenhofer 9 2 0 01 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
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 40 140 0 26 May 2022
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs Çağatay Yıldız M. Kandemir Barbara Rakitsch 46 10 0 24 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 104 0 16 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 24 2 0 15 May 2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks Haochen Shi Huazhe Xu Zhiao Huang Yunzhu Li Jiajun Wu 19 59 0 05 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 22 5 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 9 12 0 05 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 22 3 0 02 May 2022
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba J. Tenenbaum Chuang Gan CoGe OCL 15 51 0 02 May 2022
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning J. M. Parrilla-Gutierrez AI4CE 14 0 0 25 Apr 2022
Completing Networks by Learning Local Connection Patterns Zhang Zhang Ruyi Tao Yongzai Tao Mingze Qi Jiang Zhang GNN 11 0 0 25 Apr 2022
Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks Xiang Fu T. Xie Nathan J. Rebello B. Olsen Tommi Jaakkola AI4CE 12 13 0 21 Apr 2022
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures Samuele Papa Ole Winther Andrea Dittadi OCL 16 14 0 18 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 31 67 0 16 Apr 2022
Learning time-dependent PDE solver using Message Passing Graph Neural Networks Pourya Pilva A. Zareei AI4CE 25 6 0 15 Apr 2022
Improved Training of Physics-Informed Neural Networks with Model Ensembles Katsiaryna Haitsiukevich Alexander Ilin PINN 28 23 0 11 Apr 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 54 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
Graph Neural Networks are Dynamic Programmers Andrew Dudzik Petar Velickovic 26 62 0 29 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
Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks Changhao Wang Yuyou Zhang Xiang Zhang Zheng Wu Xinghao Zhu Shiyu Jin Te Tang M. Tomizuka OffRL AI4CE 13 52 0 28 Mar 2022
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling Ziqian Bai Timur M. Bagautdinov Javier Romero Michael Zollhöfer Ping Tan Shunsuke Saito 3DH 16 3 0 25 Mar 2022
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks Franz M. Rohrhofer S. Posch C. Gößnitzer Bernhard C. Geiger PINN 36 17 0 25 Mar 2022
Inferring Articulated Rigid Body Dynamics from RGBD Video Eric Heiden Ziang Liu Vibhav Vineet Erwin Coumans Gaurav Sukhatme PINN AI4CE 15 11 0 20 Mar 2022
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation Yu Yao C. Cao S. Haas Mahak Agarwal Divya Khanna M. Abram 17 4 0 19 Mar 2022
Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels Mengyang Gu Xubo Liu X. Fang Sui Tang 12 8 0 16 Mar 2022
SocialVAE: Human Trajectory Prediction using Timewise Latents Pei Xu J. Hayet Ioannis Karamouzas 11 83 0 15 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 17 8 0 14 Mar 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
Equivariant Graph Mechanics Networks with Constraints Wen-bing Huang J. Han Yu Rong Tingyang Xu Fuchun Sun Junzhou Huang AI4CE 25 78 0 12 Mar 2022
A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto AI4CE 8 12 0 11 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 6 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 12 9 0 08 Mar 2022
Important Object Identification with Semi-Supervised Learning for Autonomous Driving Jiachen Li Haiming Gang Hengbo Ma M. Tomizuka Chiho Choi 19 12 0 05 Mar 2022
Thermodynamics-informed graph neural networks Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto AI4CE PINN 25 31 0 03 Mar 2022
Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter Xibai Lou Yang Yang Changhyun Choi 11 16 0 02 Mar 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 109 85 0 24 Feb 2022
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks Tianju Xue S. Adriaenssens S. Mao AI4CE 4 26 0 24 Feb 2022
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks Zhe Li A. Tolias Xaq Pitkow AI4CE 19 3 0 22 Feb 2022
Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using a Graph Convolutional Neural Network Rezaur Rahman Samiul Hasan GNN 11 22 0 21 Feb 2022
EINNs: Epidemiologically-informed Neural Networks Alexander Rodríguez Jiaming Cui Naren Ramakrishnan B. Adhikari B. Prakash 22 28 0 21 Feb 2022
Lie Point Symmetry Data Augmentation for Neural PDE Solvers Johannes Brandstetter Max Welling Daniel E. Worrall AI4CE 23 54 0 15 Feb 2022
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons Bjorn List Li-Wei Chen Nils Thuerey 16 55 0 14 Feb 2022
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs Georg Kohl Li-Wei Chen Nils Thuerey 23 0 0 08 Feb 2022
Message Passing Neural PDE Solvers Johannes Brandstetter Daniel E. Worrall Max Welling AI4CE 25 258 0 07 Feb 2022
A Graph Neural Network Framework for Grid-Based Simulation Haoyu Tang Wennan Long 9 0 0 05 Feb 2022
Rediscovering orbital mechanics with machine learning Pablo Lemos N. Jeffrey M. Cranmer S. Ho Peter W. Battaglia PINN AI4CE 9 86 0 04 Feb 2022