Latent-space Physics: Towards Learning the Temporal Evolution of Fluid
Flow

Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow

27 February 2018

Papers citing "Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow"

13 / 63 papers shown

Title
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 21 25 0 23 Aug 2019
Transport-Based Neural Style Transfer for Smoke Simulations Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 30 52 0 17 May 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 31 543 0 30 Nov 2018
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting Philipp Haehnel Jakub Mareˇcek Julien Monteil Fearghal O'Donncha AI4CE 20 39 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 39 378 0 18 Oct 2018
From Deep to Physics-Informed Learning of Turbulence: Diagnostics Ryan N. King O. Hennigh A. Mohan Michael Chertkov AI4CE 20 57 0 16 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 104 4,960 0 19 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 183 162 0 15 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 439 0 01 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 283 1,401 0 01 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 191 1,942 0 24 Oct 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,902 0 06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015