Bayesian optimization of hyper-parameters in reservoir computing

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Bayesian optimization of hyper-parameters in reservoir computing

16 November 2016

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Papers citing "Bayesian optimization of hyper-parameters in reservoir computing"

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Title
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics Keshav Srinivasan Dietmar Plenz M. Girvan 110 0 0 16 Apr 2025
Adaptive control of recurrent neural networks using conceptors Guillaume Pourcel Mirko Goldmann Ingo Fischer Miguel C. Soriano 61 0 0 12 May 2024
Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input Enrico Picco L. Jaurigue Kathy Lüdge Serge Massar 101 1 0 25 Jan 2024
Deep Photonic Reservoir Computer for Speech Recognition Enrico Picco Alessandro Lupo Serge Massar 42 4 0 11 Dec 2023
Learning noise-induced transitions by multi-scaling reservoir computing Zequn Lin Zhaofan Lu Zengru Di Ying Tang 87 4 0 11 Sep 2023
Reservoir Computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems Cheng Fang Yubin Lu Ting Gao Jinqiao Duan 43 4 0 01 May 2023
Learning unidirectional coupling using echo-state network S. Mandal M. Shrimali 65 7 0 23 Mar 2023
Hyperparameter Tuning in Echo State Networks Filip Matzner 54 3 0 16 Jul 2022
Next Generation Reservoir Computing D. Gauthier Erik Bollt Aaron Griffith W. A. S. Barbosa 98 418 0 14 Jun 2021
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics A. Racca Luca Magri OOD AAML 52 64 0 09 Feb 2021
Bayesian optimisation of large-scale photonic reservoir computers P. Antonik N. Marsal Daniel Brunner D. Rontani 118 22 0 06 Apr 2020
Learning ergodic averages in chaotic systems Francisco Huhn Luca Magri 45 12 0 09 Jan 2020
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers Aaron Griffith Andrew Pomerance D. Gauthier 64 129 0 01 Oct 2019
Efficient Optimization of Echo State Networks for Time Series Datasets Jacob Reinier Maat N. Gianniotis P. Protopapas AI4TS 43 20 0 12 Mar 2019