PDE-Driven Spatiotemporal Disentanglement

4 August 2020

Papers citing "PDE-Driven Spatiotemporal Disentanglement"

8 / 8 papers shown

Title
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 19 8 0 21 Oct 2022
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 34 64 0 02 Jul 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin G. Walters Rose Yu OOD AI4TS AI4CE 19 31 0 20 Feb 2021
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 16 26 0 14 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 17 132 0 09 Oct 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 78 288 0 03 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 141 219 0 29 Sep 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 224 7,902 0 13 Jun 2015