activity
20162024
most citedNext Generation Reservoir Computing

577 citations · 721 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024★ 31 cited

Controlling Chaos Using Edge Computing Hardware

Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier

Machine learning provides a data-driven approach for creating a digital twin of a system - a digital model used to predict the system behavior. Having an accurate digital twin can…

cs.LG2023★ 23 cited

Controlling Chaotic Maps using Next-Generation Reservoir Computing

Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier

In this work, we combine nonlinear system control techniques with next-generation reservoir computing, a best-in-class machine learning approach for predicting the behavior of dyna…

cs.LG2022★ 47 cited

Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing

Wendson A. S. Barbosa, Daniel J. Gauthier

Forecasting the behavior of high-dimensional dynamical systems using machine learning requires efficient methods to learn the underlying physical model. We demonstrate spatiotempor…

cs.LG2021★ 577 cited

Next Generation Reservoir Computing

Daniel J. Gauthier, Erik Bollt, Aaron Griffith +1

Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it require…

cond-mat.supr-con2021★ 11 cited

Reservoir Computing with Superconducting Electronics

Graham E. Rowlands, Minh-Hai Nguyen, Guilhem J. Ribeill +5

The rapidity and low power consumption of superconducting electronics makes them an ideal substrate for physical reservoir computing, which commandeers the computational power inhe…

cs.NE2021★ 17 cited

Symmetry-Aware Reservoir Computing

Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands +5

We demonstrate that matching the symmetry properties of a reservoir computer (RC) to the data being processed dramatically increases its processing power. We apply our method to th…

physics.optics2019★ 13 cited

The statistics of chaos in a bursting laser

Wendson A. S. Barbosa, Edison J. Rosero, Jorge R. Tredicce +1

We demonstrate experimentally how semiconductor lasers subjected to double optical feedback change the statistics of their chaotic spiking dynamics from Gaussian to long-tail Power…

physics.optics2016★ 2 cited

Correlations in Electrically Coupled Chaotic Lasers

E. J. Rosero, W. A. S. Barbosa, J. F. Martinez Avila +2

We show how two electrically coupled semiconductor lasers having optical feedback can present simultaneous anti-phase correlated fast power fluctuations, and strong in-phase synchr…