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Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics

12 October 2022

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Papers citing "Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics"

24 / 24 papers shown

Title
Lie Point Symmetry Data Augmentation for Neural PDE Solvers Johannes Brandstetter Max Welling Daniel E. Worrall AI4CE 74 64 0 15 Feb 2022
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 71 136 0 11 Jun 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 2021
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 69 44 0 21 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 504 2,448 0 18 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 82 804 0 07 Oct 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um R. Brand Yun Fei Fei Philipp Holl N. Thürey AI4CE 56 273 0 30 Jun 2020
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow S. Wiewel Byungsoo Kim Vinicius Azevedo B. Solenthaler Nils Thuerey AI4CE 44 34 0 12 Mar 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 175 437 0 10 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 145 1,101 0 21 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 126 177 0 08 Feb 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 115 524 0 19 Nov 2019
DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu Luke Anderson Tzu-Mao Li Qi Sun N. Carr Jonathan Ragan-Kelley F. Durand 65 388 0 01 Oct 2019
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 138 4,062 0 25 Feb 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 82 399 0 03 Oct 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 68 165 0 18 May 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 98 978 0 22 Feb 2018
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Yin Zhou Oncel Tuzel 3DPC 118 3,731 0 17 Nov 2017
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 169 2,243 0 02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,360 0 02 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 543 1,412 0 01 Dec 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 94 535 0 13 Jul 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 171 1,945 0 24 Feb 2016
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images Shuran Song Jianxiong Xiao 3DPC 96 680 0 07 Nov 2015