Multi-fidelity Generative Deep Learning Turbulent Flows

8 June 2020

Papers citing "Multi-fidelity Generative Deep Learning Turbulent Flows"

30 / 30 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 221 30,089 0 01 Mar 2022
Turbulence Enrichment using Physics-informed Generative Adversarial Networks Akshay Subramaniam Man Long Wong Raunak Borker S. Nimmagadda S. Lele GAN AI4CE 79 38 0 04 Mar 2020
Guided Image Generation with Conditional Invertible Neural Networks Lynton Ardizzone Carsten T. Lüth Jakob Kruse Carsten Rother Ullrich Kothe DRL 54 294 0 04 Jul 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 48 273 0 13 Jun 2019
A Multi-Pass GAN for Fluid Flow Super-Resolution Maximilian Werhahn You Xie Mengyu Chu Nils Thuerey AI4CE 51 61 0 04 Jun 2019
Deep Model Predictive Control with Online Learning for Complex Physical Systems Katharina Bieker Sebastian Peitz Steven L. Brunton J. Nathan Kutz M. Dellnitz AI4CE PINN 21 35 0 24 May 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 77 132 0 04 Mar 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 44 113 0 24 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 83 866 0 18 Jan 2019
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 108 357 0 09 Nov 2018
Deep Learning of Vortex Induced Vibrations M. Raissi Zhicheng Wang M. Triantafyllou George Karniadakis AI4CE 55 376 0 26 Aug 2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation Long Zhao Xi Peng Yu Tian Mubbasir Kapadia Dimitris N. Metaxas DiffM VGen 51 101 0 26 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 263 3,124 0 09 Jul 2018
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks N. Geneva N. Zabaras BDL 46 125 0 08 Jul 2018
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media S. Mo Yinhao Zhu N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 64 279 0 02 Jul 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations Byungsoo Kim Vinicius Azevedo N. Thürey Theodore Kim Markus Gross B. Solenthaler GAN 52 389 0 06 Jun 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow S. Wiewel M. Becher N. Thürey AI4CE 78 275 0 27 Feb 2018
i-RevNet: Deep Invertible Networks J. Jacobsen A. Smeulders Edouard Oyallon 83 333 0 20 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 82 642 0 21 Jan 2018
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks Wei Xiong Wenhan Luo Lin Ma Wen Liu Jiebo Luo GAN 49 182 0 22 Sep 2017
Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks O. Hennigh AI4CE 47 67 0 25 May 2017
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 84 536 0 06 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 709 36,708 0 25 Aug 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 80 533 0 13 Jul 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 229 3,689 0 26 May 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 522 7,977 0 13 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 411 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 118 2,256 0 30 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 410 16,947 0 20 Dec 2013