Asymptotic Stability in Reservoir Computing

1 code implementation • 7 Jun 2022 • Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser

Reservoir Computing is a class of Recurrent Neural Networks with internal weights fixed at random.

Reservoir Computing meets Recurrent Kernels and Structured Transforms

1 code implementation • NeurIPS 2020 • Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala

Reservoir Computing is a class of simple yet efficient Recurrent Neural Networks where internal weights are fixed at random and only a linear output layer is trained.

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