577 citations · 823 across the 4 of their papers we have counts for
4 papers
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…
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…
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…