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cs.LG2023★ 1 cited
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events
Alberto Racca, Luca Magri
Extreme event are sudden large-amplitude changes in the state or observables of chaotic nonlinear systems, which characterize many scientific phenomena. Because of their violent na…
cs.LG2021★ 1 cited
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics
Alberto Racca, Luca Magri
An approach to the time-accurate prediction of chaotic solutions is by learning temporal patterns from data. Echo State Networks (ESNs), which are a class of Reservoir Computing, c…
cs.LG2021
Automatic-differentiated Physics-Informed Echo State Network (API-ESN)
Alberto Racca, Luca Magri
We propose the Automatic-differentiated Physics-Informed Echo State Network (API-ESN). The network is constrained by the physical equations through the reservoir's exact time-deriv…