132 citations · 269 across the 11 of their papers we have counts for
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math.DS2021
(Thesis) Reservoir Computing With Dynamical Systems
Allen G Hart
A reservoir computer is a special type of neural network, where most of the weights are randomly fixed and only a subset are trained. In this thesis we prove results about reservoi…
math.DS2021★ 32 cited
Learning strange attractors with reservoir systems
Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
This paper shows that the celebrated Embedding Theorem of Takens is a particular case of a much more general statement according to which, randomly generated linear state-space rep…
math.DS2021★ 3 cited
Using Echo State Networks to Approximate Value Functions for Control
Allen G. Hart, Kevin R. Olding, A. M. G. Cox +2
An Echo State Network (ESN) is a type of single-layer recurrent neural network with randomly-chosen internal weights and a trainable output layer. We prove under mild conditions th…