Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps

8 November 2020

Papers citing "Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps"

2 / 2 papers shown

Title
A Renormalization Group Approach to Connect Discrete- and Continuous-Time Descriptions of Gaussian Processes Federica Ferretti Victor Chardès T. Mora A. Walczak I. Giardina 13 1 0 16 Jan 2021
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems Alexander Wikner Jaideep Pathak Brian Hunt M. Girvan T. Arcomano I. Szunyogh Andrew Pomerance Edward Ott AI4CE 64 70 0 10 Feb 2020