Learning Semilinear Neural Operators : A Unified Recursive Framework For
Prediction And Data Assimilation

Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation

24 February 2024

Deniz Erdogmus

Papers citing "Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation"

5 / 5 papers shown

Title
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 60 79 0 08 Sep 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 124 198 0 28 Sep 2021
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 203 2,254 0 18 Oct 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 78 284 0 03 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,816 0 13 Jun 2015