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)

Information processing with photonic hardware neural networks

Estébanez, Irene (Supervisors: Fischer, Ingo; Argyris, Apostolos)
PhD Thesis (2024)

Exploiting oscillatory dynamics of delay systems for reservoir computing

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

Experimental demonstration of bandwidth enhancement in photonic time delay reservoir computing

Estébanez, Irene; Argyris, Apostolos; Fischer, Ingo
Optics Letters 48 (9), 2449-2452 (2023)

Implementation of input correlation learning with an optoelectronic dendritic unit

Ortín, Silvia; Soriano, Miguel Cornelles; Tetzlaff, Christian; Wörgötter, Florentin; Fischer, Ingo; Mirasso, Claudio Rubén.; Argyris, Apostolos
Frontiers in Physics 11, 1112295 (1-11) (2023)

Injection locking and coupling large VCSEL arrays via diffraction in an external cavity

Pflüger, Moritz; Brunner, Daniel; Heuser, Tobias; Lott, James A.; Reitzenstein, Stephan; Fischer, Ingo
Optics Express 31, 8704-8713 (2023)

Learning unseen coexisting attractors

Gauthier, Daniel J.; Fischer, Ingo; Röhm, André
Chaos 32, 113107 (1-9) (2022)

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)

Optical dendrites for spatio-temporal computing with few-mode fibers

Ortín, Silvia; Soriano, Miguel C.; Fischer, Ingo; Mirasso, Claudio R.; Argyris, Apostolos
Optical Materials Express 12 (5), 1907-1919 (2022)

Nonlinear Dynamics of a Single-Mode Semiconductor Laser with Long Delayed Optical Feedback: A Modern Experimental Characterization Approach

Porte, Xavier; Brunner, Daniel; Fischer, Ingo; Soriano, Miguel C.
Photonics 9, 47 (2022)

56 GBaud PAM-4 100 km transmission system with photonic processing schemes

Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Journal of Lightwave Technology 40, 1, 55-62 (2022)

Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing

Röhm, André; Gauthier, Daniel J.; Fischer, Ingo
Chaos 31, 103127 (1-10) (2021)

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)

Boosting the output power of large-aperture lasers by breaking their circular symmetry

Brejnak, A.; Gębski, M.; Sokół, A. K.; Marciniak, M.; Wasiak, M.; Muszalski, J.; Lott, J. A.; Fischer, I.; Czyszanowski, T.
Optica 8 (9), 1167-1175 (2021)

Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops

Stelzer, Florian; Röhm, Andre; Vicente, Raul; Fischer, Ingo; Yanchuk, Serhiy
Nature Communications 12, 5164 (1-10) (2021)

Reservoir Computing: Theory, Physical Implementations, and Applications

Nakajima, Kohei; Fischer, Ingo (Editors)
, Springer Singapore (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)

Enhancing optical output power by breaking VCSEL circular symmetry

Czyszanowski, T. G.; Brejnak, A.; Gebski, M.; Sokół, A. K.; Marciniak, M.; Pruszyńska-Karbownik, E.; Wasiak, M.; Muszalski, J.; Lott, J. A.; Fischer, I.
Vertical-Cavity Surface-Emitting Lasers XXV, K. D. Choquette and C. Lei, eds., SPIE, 11704, 117040D (1-10) (2021)

Predicting hidden structure in dynamical systems

Gauthier, Daniel J.; Fischer, Ingo
Nature Machine Intelligence 3, 281–282 (2021)

Transmission delays and frequency detuning can regulate information flow between brain regions

Pariz, A., Fischer, I., Valizadeh, A. Mirasso, C.
Plos Computational Biology 17, e1008129 (2021)

Fast physical repetitive patterns generation for masking in time-delay reservoir computing

Argyris, Apostolos; Schwind, Janek; Fischer, Ingo
Scientific Reports 11, 6701 (2021)

High-speed harvesting of random numbers

Fischer, Ingo; Gauthier, Daniel J.
Science 371 (6532), 889-890 (2021)

Introduction to JSTQE Issue on Photonics for Deep Learning and Neural Computing

Prucnal, P.R.; Shastri, B.J.; Fischer, I.; Brunner, D.
IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 0200103 (1-3) (2020)

Developing a photonic hardware platform for brain-inspired computing based on 5 × 5 VCSEL arrays

Heuser, Tobias; Pflüger, Moritz; Fischer, Ingo; Lott, James A; Brunner, Daniel; Reitzenstein, Stephan
Journal of Physics: Photonics 2, 044002 (2020)

Accelerating photonic computing by bandwidth enhancement of a time-delay reservoir

Estébanez, Irene; Schwind, Janek; Fischer, Ingo; Argyris, Apostolos
Nanophotonics 9, 13, 4163–4171 (2020)

Comparison of photonic reservoir computing systems for fiber transmission equalization

Argyris, A.; Cantero, J.; Galletero, M.; Pereda, E.; Mirasso, C. R.; Fischer, I.; Soriano, M. C.
IEEE Journal of Selected Topics in Quantum Electronics 26, 5100309 (2020)

Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing

Cunillera, Alejandro; Soriano, Miguel C.; Fischer, Ingo
Chaos 29, 113113 (1-9) (2019)

Constructive Role of Noise for High-Quality Replication of Chaotic Attractor Dynamics Using a Hardware-Based Reservoir Computer

Estébanez, Irene; Fischer, Ingo; Soriano, Miguel C.
Physical Review Applied 12, 034058 (2019)

A unifying analysis of chaos synchronization and consistency in delay-coupled semiconductor lasers

Jungling, T.; Porte, X.; Oliver, N.; Soriano, M. C.; Fischer, I.
IEEE Journal of Selected Topics in Quantum Electronics 25, 1501609 (2019)

Photonic Information Processing

Bueno Moragues, Julián (Supervisors: Fischer, Ingo; Brunner, Daniel)
PhD Thesis (2019)

PAM-4 transmission at 1550 nm using photonic reservoir computing post-processing

Argyris, Apostolos;Bueno, Julián;Fischer, Ingo
IEEE Access 7, 37017-37025 (2019)

Phase space reconstruction of semiconductor laser dynamics using reservoir computing

Alejandro Cunillera Pérez (Supervisors: Ingo Fischer, Miguel C. Soriano)
Master Thesis (2019)

Tutorial: Photonic neural networks in delay systems

Brunner, D.; Penkovsky, B.; Marquez, A.; Jacquot, M.; Fischer, I.; Larger, L.
Journal of Applied Physics 124, 152004 (1-14) (2018)

Autonomous dynamical systems based on hardware implementations of delay-reservoir computers

Irene Estébanez (Supervisors: Miguel C. Soriano, Ingo Fischer)
Master Thesis (2018)

Complex photonic systems for post-processing communication signals

Losa Morlá, Joan (Argyris, Apostolos; Fischer, Ingo)
Master Thesis (2018)

Reinforcement learning in a large-scale photonic recurrent neural network

Bueno, Julian; Maktoobi, Sheler; Froehly, Luc; Fischer, Ingo; Jacquot, Maxime; Larger, Laurent; Brunner, Daniel
Optica 5, 756-760 (2018)

Photonic machine learning implementation for signal recovery in optical communications

Argyris, Apostolos; Bueno, Julián; Fischer, Ingo
Scientific Reports 8, 8487 (2018)

Post-processing of Long-haul and Ethernet Optical Transmission Signals Using Photonic Reservoir Computing

Argyris, Apostolos; Bueno, Julián; Fischer, Ingo
2017 European Conference on Optical Communication (ECOC), IEEE, , (2018)

Consistency properties of chaotic systems driven by time-delayed feedback

Jüngling, Thomas; Soriano, Miguel C.; Oliver, Neus; Porte, Xavier; Fischer, Ingo.
Physical Review E 97, 042202 (1-13) (2018)

A complex network of 1600 holographically coupled opto-electronic oscillators: Network dynamics and utilisation for reservoir computing

Brunner, D.; Jacquot, M.; Larger, L.; Fischer, I.
2017 Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), IEEE, , (2017)

Improving detection in optical communications using all-optical reservoir computing

Argyris, A.; Bueno, J.; Soriano, M.C.; Fischer, I.
2017 Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), IEEE, , (2017)

Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback

Bueno, Julián; Brunner, Daniel; Soriano, Miguel C.; Fischer, Ingo
2017 Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), IEEE, , (2017)

Role of dynamical injection locking and characteristic pulse events for low frequency fluctuations in semiconductor lasers

Hicke, K.; Brunner, D.; Soriano, M. C.; Fischer, I.
Chaos 27, 114307 (2017)

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Publicaciones: Ingo Fischer

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