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Anzahl der Publikationen: 7
Zeitschriftenartikel
Gonon, Lukas; Grigoryeva, Lyudmila und Ortega, Juan-Pablo
(2023):
Approximation bounds for random neural networks and reservoir systems.
In: Annals of Applied Probability, Bd. 33, Nr. 1: S. 28-69
Cuchiero, Christa; Gonon, Lukas 
ORCID: https://orcid.org/0000-0003-3367-2455; Grigoryeva, Lyudmila; Ortega, Juan-Pablo ORCID: https://orcid.org/0000-0002-5412-9622 und Teichmann, Josef
(2022):
Discrete-Time Signatures and Randomness in Reservoir Computing.
In: IEEE Transactions on Neural Networks and Learning Systems, Bd. 33, Nr. 11: S. 6321-6330
ORCID: https://orcid.org/0000-0003-3367-2455; Grigoryeva, Lyudmila; Ortega, Juan-Pablo ORCID: https://orcid.org/0000-0002-5412-9622 und Teichmann, Josef
(2022):
Discrete-Time Signatures and Randomness in Reservoir Computing.
In: IEEE Transactions on Neural Networks and Learning Systems, Bd. 33, Nr. 11: S. 6321-6330
Cuchiero, Christa; Gonon, Lukas; Grigoryeva, Lyudmila; Ortega, Juan-Pablo und Teichmann, Josef
(2022):
Discrete-Time Signatures and Randomness in Reservoir Computing.
In: IEEE Transactions on Neural Networks and Learning Systems, Bd. 33, Nr. 11: S. 6321-6330
Gonon, Lukas und Ortega, Juan-Pablo
(2021):
Fading memory echo state networks are universal.
In: Neural Networks, Bd. 138: S. 10-13
Gonon, Lukas; Grigoryeva, Lyudmila und Ortega, Juan-Pablo
(2020):
Memory and forecasting capacities of nonlinear recurrent networks.
In: Physica D-Nonlinear Phenomena, Bd. 414, 132721
Gonon, Lukas; Grigoryeva, Lyudmila und Ortega, Juan-Pablo
(2020):
Risk Bounds for Reservoir Computing.
In: Journal of Machine Learning Research, Bd. 21, 240
Gonon, Lukas ORCID: https://orcid.org/0000-0003-3367-2455 und Ortega, Juan-Pablo ORCID: https://orcid.org/0000-0002-5412-9622
(2020):
Reservoir Computing Universality With Stochastic Inputs.
In: IEEE Transactions on Neural Networks and Learning Systems, Bd. 31, Nr. 1: S. 100-112
ORCID: https://orcid.org/0000-0003-3367-2455 und Ortega, Juan-Pablo ORCID: https://orcid.org/0000-0002-5412-9622
(2020):
Reservoir Computing Universality With Stochastic Inputs.
In: IEEE Transactions on Neural Networks and Learning Systems, Bd. 31, Nr. 1: S. 100-112