Anticipating synchronization with machine learning

13 March 2021

Papers citing "Anticipating synchronization with machine learning"

10 / 10 papers shown

Title
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 118 2 0 28 Jan 2025
Thermodynamic limit in learning period three Yuichiro Terasaki Kohei Nakajima 65 1 0 12 May 2024
Machine learning prediction of critical transition and system collapse Ling-Wei Kong Hua-wei Fan C. Grebogi Y. Lai 25 84 0 02 Dec 2020
Transfer learning of chaotic systems Yali Guo Han Zhang Liang Wang Huawei Fan Xingang Wang AI4TS 19 17 0 15 Nov 2020
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius Junjie Jiang Y. Lai 30 105 0 10 Oct 2019
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers Aaron Griffith Andrew Pomerance D. Gauthier 30 128 0 01 Oct 2019
Inferring the dynamics of oscillatory systems using recurrent neural networks Rok Cestnik Markus Abel 33 27 0 04 Apr 2019
Machine-learning inference of fluid variables from data using reservoir computing Kengo Nakai Yoshitaka Saiki AI4CE 21 56 0 23 May 2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model Jaideep Pathak Alexander Wikner Rebeckah K. Fussell Sarthak Chandra Brian Hunt M. Girvan Edward Ott 38 286 0 09 Mar 2018
A Critical Review of Recurrent Neural Networks for Sequence Learning Zachary Chase Lipton John Berkowitz Charles Elkan 77 2,327 0 29 May 2015