no code implementations • 20 Dec 2023 • Lauren A. Hurley, Juan G. Restrepo, Sean E. Shaheen
By using different functions from this set, and by modifying their parameters, we explore whether the entropy of node activation levels or the curvature of the activation functions determine the predictive ability of the reservoirs.
no code implementations • 24 Jul 2023 • Per Sebastian Skardal, Juan G. Restrepo
Identifying disturbances in network-coupled dynamical systems without knowledge of the disturbances or underlying dynamics is a problem with a wide range of applications.
no code implementations • 19 Jun 2023 • Juan G. Restrepo, Clayton P. Byers, Per Sebastian Skardal
In this Letter, we present a model-free method to identify and suppress an unknown disturbance to an unknown system based only on previous observations of the system under the influence of a known forcing function.
no code implementations • 5 Dec 2019 • Amitava Banerjee, Jaideep Pathak, Rajarshi Roy, Juan G. Restrepo, Edward Ott
Our technique leverages the results of a machine learning process for short time prediction to achieve our goal.