Neural Closure Models for Dynamical Systems

27 December 2020

Papers citing "Neural Closure Models for Dynamical Systems"

7 / 7 papers shown

Title
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
Generalized Neural Closure Models with Interpretability Abhinava Gupta Pierre FJ Lermusiaux AI4CE 22 9 0 15 Jan 2023
Comparison of neural closure models for discretised PDEs Hugo Melchers D. Crommelin B. Koren Vlado Menkovski B. Sanderse 22 15 0 26 Oct 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 29 84 0 13 Apr 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events S. Rudy T. Sapsis 16 16 0 01 Dec 2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems Andreas Schlaginhaufen Philippe Wenk Andreas Krause Florian Dorfler 27 15 0 27 Oct 2021