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Accelerating Eulerian Fluid Simulation With Convolutional Networks

International Conference on Machine Learning (ICML), 2016

13 July 2016

Papers citing "Accelerating Eulerian Fluid Simulation With Convolutional Networks"

50 / 210 papers shown

Title
Probabilistic Surrogate Networks for Simulators with Unbounded RandomnessConference on Uncertainty in Artificial Intelligence (UAI), 2019 Andreas Munk Berend Zwartsenberg Adam Scibior A. G. Baydin Andrew Stewart G. Fernlund A. Poursartip Frank Wood TPM 188 5 0 25 Oct 2019
Dynamic Upsampling of Smoke through Dictionary-based LearningACM Transactions on Graphics (TOG), 2019 Kai-Yi Bai Wei Li M. Desbrun Xiaopei Liu AI4CE 105 32 0 21 Oct 2019
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee Antonio Terpin Abinav Ravi Venkatakrishnan Ivan Ezhov Jana Lipkova Marie Piraud Bjoern Menze AI4CE 142 2 0 08 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 71 2 0 07 Oct 2019
A Multi-level procedure for enhancing accuracy of machine learning algorithmsEuropean journal of applied mathematics (EJAM), 2019 K. Lye Siddhartha Mishra Roberto Molinaro 153 34 0 20 Sep 2019
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Kun Qian Abduallah A. Mohamed Christian G. Claudel AI4CE 119 27 0 23 Aug 2019
Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks Tae Min Lee Young-Jin Oh In-Kwon Lee AI4CE 80 7 0 09 Jul 2019
Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems Johannes Sappl L. Seiler M. Harders W. Rauch AI4CE 103 28 0 17 Jun 2019
Physics Enhanced Data-Driven Models with Variational Gaussian Processes Daniel L. Marino Milos Manic 61 3 0 05 Jun 2019
A Multi-Pass GAN for Fluid Flow Super-Resolution Maximilian Werhahn You Xie Mengyu Chu Nils Thuerey AI4CE 145 64 0 04 Jun 2019
Hamiltonian Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 541 1,034 0 04 Jun 2019
Learning Neural PDE Solvers with Convergence GuaranteesInternational Conference on Learning Representations (ICLR), 2019 Jun-Ting Hsieh Shengjia Zhao Stephan Eismann L. Mirabella Stefano Ermon AI4CE 212 152 0 04 Jun 2019
Unsupervised Intuitive Physics from Past Experiences Sébastien Ehrhardt Áron Monszpart Niloy J. Mitra Andrea Vedaldi OOD PINN AI4CE SSL 161 2 0 26 May 2019
Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir ModelingFrontiers in Big Data (FBD), 2019 Jirí Navrátil Alan King Jesus Rios Georgios Kollias R. Torrado Andrés Codas AI4CE 66 35 0 23 May 2019
Explainable Machine Learning for Scientific Insights and DiscoveriesIEEE Access (IEEE Access), 2019 R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 294 769 0 21 May 2019
Transport-Based Neural Style Transfer for Smoke SimulationsACM Transactions on Graphics (TOG), 2019 Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 123 56 0 17 May 2019
Constraint-Aware Neural Networks for Riemann ProblemsJournal of Computational Physics (JCP), 2019 Jim Magiera Deep Ray J. Hesthaven C. Rohde AI4CE PINN 128 65 0 29 Apr 2019
LEARNet Dynamic Imaging Network for Micro Expression Recognition Monu Verma Santosh Kumar Vipparthi Girdhari Singh Subrahmanyam Murala 76 121 0 20 Apr 2019
Deep learning observables in computational fluid dynamics K. Lye Siddhartha Mishra Deep Ray OOD AI4CE 302 168 0 07 Mar 2019
Deep Generative Design: Integration of Topology Optimization and Generative Models Sangeun Oh Yongsu Jung Seongsin Kim Ikjin Lee Namwoo Kang AI4CE 84 0 0 01 Mar 2019
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors N. Benjamin Erichson L. Mathelin Z. Yao Steven L. Brunton Michael W. Mahoney J. Nathan Kutz AI4CE 117 34 0 20 Feb 2019
Fast Neural Network Predictions from Constrained Aerodynamics Datasets Cristina White D. Ushizima C. Farhat AI4CE 172 19 0 26 Jan 2019
Pricing options and computing implied volatilities using neural networks Shuaiqiang Liu C. Oosterlee S. Bohté 161 130 0 25 Jan 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 296 948 0 18 Jan 2019
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces Jun Gao Chengcheng Tang Vignesh Ganapathi-Subramanian Jiahui Huang Hao Su Leonidas Guibas 3DPC 115 36 0 12 Jan 2019
Physics-Based Learning for Robotic Environmental Sensing Reza Khodayi-mehr Michael M. Zavlanos 199 2 0 10 Dec 2018
Networks for Nonlinear Diffusion Problems in Imaging Simon Arridge A. Hauptmann DiffM MedIm 108 20 0 29 Nov 2018
Learning to Predict the Cosmological Structure FormationProceedings of the National Academy of Sciences of the United States of America (PNAS), 2018 Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 262 180 0 15 Nov 2018
NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids Rajaditya Mukherjee Qingyang Li Zhili Chen Shicheng Chu Huamin Wang 57 6 0 06 Nov 2018
Solving Poisson's Equation using Deep Learning in Particle Simulation of PN Junction Zhongyang Zhang Ling Zhang Ze Sun Nicholas Erickson Ryan From Jun Fan 70 19 0 24 Oct 2018
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting Philipp Haehnel Jakub Mareˇcek Julien Monteil Fearghal O'Donncha AI4CE 136 44 0 22 Oct 2018
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 298 450 0 18 Oct 2018
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling C. Cantwell Yumnah Mohamied Konstantinos N. Tzortzis Stef Garasto C. Houston R. Chowdhury F. Ng Anil A. Bharath N. Peters 82 46 0 09 Oct 2018
Modeling human intuitions about liquid flow with particle-based simulation Christopher Bates Ilker Yildirim J. Tenenbaum Peter W. Battaglia AI4CE 67 60 0 05 Sep 2018
One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Learning Ruijin Cang Hope Yao Yi Ren 140 0 0 27 Jul 2018
A machine learning framework for data driven acceleration of computations of differential equations Siddhartha Mishra AI4CE 159 91 0 25 Jul 2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems Yun Long Xueyuan She Saibal Mukhopadhyay 120 60 0 19 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 425 171 0 15 Jun 2018
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer Gilles Puy P. Pérez 3DH 79 1 0 13 Jun 2018
A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations M. A. Nabian Hadi Meidani AI4CE 158 105 0 08 Jun 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations Byungsoo Kim Vinicius Azevedo N. Thürey Theodore Kim Markus Gross B. Solenthaler GAN 151 411 0 06 Jun 2018
Unsupervised Intuitive Physics from Visual Observations Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi SSL PINN OOD 122 31 0 14 May 2018
3D Fluid Flow Estimation with Integrated Particle Reconstruction Katrin Lasinger Christoph Vogel Thomas Pock Konrad Schindler 124 21 0 09 Apr 2018
Data-Augmented Contact Model for Rigid Body SimulationConference on Learning for Dynamics & Control (L4DC), 2018 Yifeng Jiang Jiazheng Sun Chenxi Liu PINN 308 23 0 11 Mar 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow S. Wiewel M. Becher N. Thürey AI4CE 237 295 0 27 Feb 2018
Deep learning algorithm for data-driven simulation of noisy dynamical system K. Yeo Igor Melnyk AI4TS 164 98 0 22 Feb 2018
Hierarchical Cloth Simulation using Deep Neural Networks Young-Jin Oh Tae Min Lee In-Kwon Lee 3DH AI4CE 113 27 0 09 Feb 2018
Deep learning for determining a near-optimal topological design without any iteration Yonggyun Yu Taeil Hur Jaeho Jung I. Jang 3DV 170 311 0 13 Jan 2018
Taking Visual Motion Prediction To New HeightfieldsComputer Vision and Image Understanding (CVIU), 2017 Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi 100 23 0 22 Dec 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge Emmanuel de Bézenac Arthur Pajot Patrick Gallinari PINN AI4CE 245 342 0 21 Nov 2017