Learning About Structural Errors in Models of Complex Dynamical Systems

Learning About Structural Errors in Models of Complex Dynamical Systems

29 December 2023

Matthew E. Levine

Tapio Schneider

Andrew M. Stuart

Papers citing "Learning About Structural Errors in Models of Complex Dynamical Systems"

10 / 10 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 30 2 0 26 Oct 2024
Deep learning for model correction of dynamical systems with data scarcity Caroline Tatsuoka Dongbin Xiu 18 0 0 23 Oct 2024
Structural Constraints for Physics-augmented Learning Simon Kuang Xinfan Lin PINN 26 0 0 07 Oct 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 23 5 0 30 Jun 2024
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation Chuanqi Chen Nan Chen Jin-Long Wu AI4CE 35 4 0 10 Apr 2024
Operator Learning for Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods Chuanqi Chen Jin-Long Wu AI4CE 21 0 0 20 Nov 2023
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 32 33 0 16 Jul 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 2,272 0 18 Oct 2020
Maximum Likelihood Drift Estimation for Multiscale Diffusions A. Papavasiliou G. Pavliotis Andrew M. Stuart 67 65 0 19 Jun 2008