Ingo Fischer

27 papers B 1Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Adaptive control of recurrent neural networks using conceptors.
CoRR
Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel C. Soriano
2024 J jnl
Experimental reservoir computing with diffractively coupled VCSELs.
CoRR
Moritz Pflüger, Daniel Brunner, Tobias Heuser, James A. Lott, Stephan Reitzenstein, Ingo Fischer
2022 J jnl
Learning unseen coexisting attractors.
CoRR
Daniel J. Gauthier, Ingo Fischer, André Röhm
2021 B conf
Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance.
IJCNN
Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
2021 J jnl
Inferring untrained complex dynamics of delay systems using an adapted echo state network.
CoRR
Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
2021 J jnl
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing.
CoRR
André Röhm, Daniel J. Gauthier, Ingo Fischer
2021 J jnl
Predicting hidden structure in dynamical systems.
Nat. Mach. Intell.
Daniel J. Gauthier, Ingo Fischer
2021 — book
Reservoir Computing - Theory, Physical Implementations, and Applications
Reservoir Computing
Kohei Nakajima, Ingo Fischer
2021 J jnl
Transmission delays and frequency detuning can regulate information flow between brain regions.
PLoS Comput. Biol.
Aref Pariz, Ingo Fischer, Alireza Valizadeh, Claudio R. Mirasso
2021 J jnl
Tutorial: Photonic Neural Networks in Delay Systems.
CoRR
Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, Ingo Fischer, Laurent Larger
2020 — conf
Bandwidth Enhanced Operation of Photonic Time Delay Reservoir Computing.
ECOC
Irene Estébanez, Janek Schwind, Ingo Fischer, Apostolos Argyris
2020 J jnl
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops.
CoRR
Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk
2020 J jnl
Developing of a photonic hardware platform for brain-inspired computing based on 5×5 VCSEL arrays.
CoRR
Tobias Heuser, Moritz Pflüger, Ingo Fischer, James A. Lott, Daniel Brunner, Stephan Reitzenstein
2019 — conf
Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation.
ICANN (Workshop)
Miguel C. Soriano, Pau Massuti-Ballester, Jesús Yelo, Ingo Fischer
2019 J jnl
PAM-4 Transmission at 1550 nm Using Photonic Reservoir Computing Post-Processing.
IEEE Access
Apostolos Argyris, Julian Bueno, Ingo Fischer
2017 — conf
Post-processing of Long-haul and Ethernet Optical Transmission Signals Using Photonic Reservoir Computing.
ECOC
Apostolos Argyris, Julian Bueno, Ingo Fischer
2017 J jnl
Reinforcement Learning in a large scale photonic Recurrent Neural Network.
CoRR
Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner
2016 — conf
All-optical neuromorphic computing in optical networks of semiconductor lasers.
ICRC
Daniel Brunner, Stephan Reitzenstein, Ingo Fischer
2016 J jnl
CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT.
IEEE Access
Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Günes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer
2016 J jnl
CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT.
CoRR
Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Gunes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer
2015 J jnl
Digital Implementation of a Single Dynamical Node Reservoir Computer.
IEEE Trans. Circuits Syst. II Express Briefs
Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Morán, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló
2015 J jnl
Electrocardiogram Classification Using Reservoir Computing With Logistic Regression.
IEEE J. Biomed. Health Informatics
Miguel Angel Escalona-Morán, Miguel C. Soriano, Ingo Fischer, Claudio R. Mirasso
2015 J jnl
Minimal approach to neuro-inspired information processing.
Frontiers Comput. Neurosci.
Miguel C. Soriano, Daniel Brunner, Miguel Angel Escalona-Morán, Claudio R. Mirasso, Ingo Fischer
2015 J jnl
Photonic Delay Systems as Machine Learning Implementations.
CoRR
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
2015 J jnl
Photonic delay systems as machine learning implementations.
J. Mach. Learn. Res.
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
2014 J jnl
Reservoir computing with a single time-delay autonomous Boolean node.
CoRR
Nicholas D. Haynes, Miguel C. Soriano, Ingo Fischer, Daniel J. Gauthier
2007 — conf
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying.
ICANN (1)
Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso