577 citations · 727 across the 2 of their papers we have counts for
3 papers · 1 filter
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…
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers
Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier
We explore the hyperparameter space of reservoir computers used for forecasting of the chaotic Lorenz '63 attractor with Bayesian optimization. We use a new measure of reservoir pe…
Rapid Time Series Prediction with a Hardware-Based Reservoir Computer
Daniel Canaday, Aaron Griffith, Daniel Gauthier
Reservoir computing is a neural network approach for processing time-dependent signals that has seen rapid development in recent years. Physical implementations of the technique us…