Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems

3 December 2017

Papers citing "Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems"

12 / 12 papers shown

Title
State-space systems as dynamic generative models Juan-Pablo Ortega Florian Rossmannek 131 1 0 13 Mar 2025
Fading memory and the convolution theorem Juan-Pablo Ortega Florian Rossmannek 103 0 0 14 Aug 2024
Stochastic Reservoir Computers Peter J. Ehlers H. Nurdin Daniel Soh 53 3 0 20 May 2024
Risk bounds for reservoir computing Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega 63 40 0 30 Oct 2019
Reservoir Computing Universality With Stochastic Inputs Lukas Gonon Juan-Pablo Ortega 38 111 0 07 Jul 2018
Echo state networks are universal Lyudmila Grigoryeva Juan-Pablo Ortega 52 232 0 03 Jun 2018
The Asymptotic Performance of Linear Echo State Neural Networks Romain Couillet G. Wainrib Harry Sevi Hafiz Tiomoko Ali 41 26 0 25 Mar 2016
Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals Lyudmila Grigoryeva J. Henriques L. Larger Juan-Pablo Ortega 46 27 0 13 Oct 2015
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 137 2,776 0 08 Sep 2014
How to Construct Deep Recurrent Neural Networks Razvan Pascanu Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 116 1,009 0 20 Dec 2013
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 224 8,513 0 22 Mar 2013
Optoelectronic Reservoir Computing Y. Paquot F. Duport A. Smerieri J. Dambre B. Schrauwen M. Haelterman Serge Massar 74 698 0 30 Nov 2011