Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling

14 February 2022

Papers citing "Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling"

5 / 5 papers shown

Title
Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing Andrew Shannon Conor Houghton David Barton Martin Homer 23 0 0 07 Nov 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 39 3 0 07 Oct 2024
Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls Jungang Chen Eduardo Gildin John E. Killough AI4CE 29 6 0 15 May 2023
On the effectiveness of neural priors in modeling dynamical systems Sameera Ramasinghe Hemanth Saratchandran Violetta Shevchenko Simon Lucey 29 2 0 10 Mar 2023
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach Evangelos Galaris Gianluca Fabiani I. Gallos Ioannis G. Kevrekidis Constantinos Siettos AI4CE 23 40 0 31 Jan 2022