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Publicaciones: Mirko Goldmann

Adaptive control of recurrent neural networks using conceptors

Pourcel, Guillaume; Goldmann, Mirko; Fischer, Ingo; Soriano, Miguel C.
Chaos 34, 103127 (2024)

Computing with Dynamical Systems: from implementations towards novel concepts

Goldmann, Mirko (Supervisors: Fischer, Ingo; Mirasso, Claudio R.; Soriano, Miguel C.)
PhD Thesis (2024)

A photonics perspective on computing with physical substrates

Abreu; Boikov; Goldmann, M.; Jonuzi; Lupo; Masaad; Nguyen; Picco; Pourcel; Skalli; Talandier, L.; Vettelschoss; Vlieg; Argyris, A.; Bienstman; Brunner; Dambre; Daudet; Domenech; Fischer, I.; Horst; Massar; Mirasso, C.R.; Offrein; Rossi; Soriano, M. C.; Sygletos; Turitsyn
Reviews in Physics 12, 100093 (2024)

Exploiting oscillatory dynamics of delay systems for reservoir computing

Goldmann, Mirko; Fischer, Ingo ; Mirasso, Claudio R.; Soriano, Miguel C.
Chaos 33, 093139 (2023)

Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatiotemporal systems using scalable neural networks

Goldmann, Mirko; Mirasso, Claudio R.; Fischer, Ingo; Soriano, Miguel C.
Physical Review E 106, 044211 (2022)

Analog information processing with time-multiplexed optoelectronic systems

Goldmann, Mirko; Fischer, Ingo; Soriano, Miguel C.
Emerging Topics in Artificial Intelligence (ETAI) 2021, International Society for Optics and Photonics, 11804, 118041X (2021)

Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance

Goldmann, Mirko; Mirasso, Claudio R.; Fischer, Ingo; Soriano, Miguel C.
International Joint Conference on Neural Networks 2021, IEEE Computational Intelligence Society, International Neural Network Society, , (2021)