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The Asymptotic Performance of Linear Echo State Neural Networks

The Asymptotic Performance of Linear Echo State Neural Networks

Romain Couillet
G. Wainrib
Harry Sevi
Hafiz Tiomoko Ali
ArXiv (abs)PDFHTML

Papers citing "The Asymptotic Performance of Linear Echo State Neural Networks"

6 / 6 papers shown
Title
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory
Soon Hoe Lim
81
16
0
19 Jun 2020
Memory and forecasting capacities of nonlinear recurrent networks
Memory and forecasting capacities of nonlinear recurrent networks
Lukas Gonon
Lyudmila Grigoryeva
Juan-Pablo Ortega
AI4TS
85
25
0
22 Apr 2020
Risk bounds for reservoir computing
Risk bounds for reservoir computing
Lukas Gonon
Lyudmila Grigoryeva
Juan-Pablo Ortega
95
40
0
30 Oct 2019
Dynamical Systems as Temporal Feature Spaces
Dynamical Systems as Temporal Feature Spaces
Peter Tiño
59
23
0
15 Jul 2019
Differentiable reservoir computing
Differentiable reservoir computing
Lyudmila Grigoryeva
Juan-Pablo Ortega
72
40
0
16 Feb 2019
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems
Lyudmila Grigoryeva
Juan-Pablo Ortega
65
66
0
03 Dec 2017

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