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Scaling up Echo-State Networks with multiple light scattering

Scaling up Echo-State Networks with multiple light scattering

15 September 2016
Jonathan Dong
S. Gigan
Florent Krzakala
G. Wainrib
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Papers citing "Scaling up Echo-State Networks with multiple light scattering"

7 / 7 papers shown
Title
A Survey on Reservoir Computing and its Interdisciplinary Applications
  Beyond Traditional Machine Learning
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning
Heng Zhang
Danilo Vasconcellos Vargas
AI4CE
25
17
0
27 Jul 2023
Asymptotic Stability in Reservoir Computing
Asymptotic Stability in Reservoir Computing
Jonathan Dong
Erik Börve
M. Rafayelyan
M. Unser
22
5
0
07 Jun 2022
Wave-based extreme deep learning based on non-linear time-Floquet
  entanglement
Wave-based extreme deep learning based on non-linear time-Floquet entanglement
Ali Momeni
Romain Fleury
30
20
0
19 Jul 2021
Improvement of image classification by multiple optical scattering
Improvement of image classification by multiple optical scattering
X. Gao
Yi Li
Y. Qiu
Bangning Mao
Miaogen Chen
Y. Meng
Chun-liu Zhao
Juan Kang
Yong Guo
Changyu Shen
27
5
0
12 Jul 2021
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Jonathan Dong
Ruben Ohana
M. Rafayelyan
Florent Krzakala
TPM
31
18
0
12 Jun 2020
Kernel computations from large-scale random features obtained by Optical
  Processing Units
Kernel computations from large-scale random features obtained by Optical Processing Units
Ruben Ohana
Jonas Wacker
Jonathan Dong
Sébastien Marmin
Florent Krzakala
Maurizio Filippone
L. Daudet
11
24
0
22 Oct 2019
Bayesian optimization of hyper-parameters in reservoir computing
Bayesian optimization of hyper-parameters in reservoir computing
J. Yperman
Thijs Becker
TPM
16
31
0
16 Nov 2016
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