Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap Surrogate Model For Complex Nonlinear Systems

9 December 2021

Papers citing "Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap Surrogate Model For Complex Nonlinear Systems"

6 / 6 papers shown

Title
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation Chuanqi Chen Nan Chen Yinling Zhang Jin-Long Wu AI4CE 83 2 0 26 Oct 2024
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers Ashesh Chattopadhyay M. Mustafa Pedram Hassanzadeh Eviatar Bach K. Kashinath AI4CE 83 25 0 16 Mar 2021
Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning Ashesh Chattopadhyay Adam Subel Pedram Hassanzadeh BDL AI4CE 52 56 0 25 Feb 2020
Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions N. Chen A. Majda Xin T. Tong 45 22 0 17 Sep 2017
Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques A. Moosavi R. Stefanescu Adrian Sandu 17 17 0 09 Nov 2015
Kernel density estimation via diffusion Z. Botev J. Grotowski D. Kroese 151 1,522 0 11 Nov 2010