Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing

24 March 2022

Papers citing "Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing"

5 / 5 papers shown

Title
On the emergence of numerical instabilities in Next Generation Reservoir Computing Edmilson Roque dos Santos Erik Bollt 24 0 0 01 May 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 77 2 0 28 Jan 2025
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 18 32 0 21 Jan 2022
Machine-learning hidden symmetries Ziming Liu Max Tegmark 40 52 0 20 Sep 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 62 70 0 10 Feb 2020