Ingo Fischer

According to our database, Ingo Fischer authored at least 22 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive control of recurrent neural networks using conceptors.

Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel C. Soriano

CoRR, 2024

2022

Learning unseen coexisting attractors.

Daniel J. Gauthier, Ingo Fischer, André Röhm

CoRR, 2022

2021

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

Aref Pariz, Ingo Fischer, Alireza Valizadeh, Claudio R. Mirasso

PLoS Comput. Biol., 2021

Predicting hidden structure in dynamical systems.

Daniel J. Gauthier, Ingo Fischer

Nat. Mach. Intell., 2021

Inferring untrained complex dynamics of delay systems using an adapted echo state network.

Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano

CoRR, 2021

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

André Röhm, Daniel J. Gauthier, Ingo Fischer

CoRR, 2021

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

Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops.

Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk

CoRR, 2020

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

Tobias Heuser, M. Pflüger, Ingo Fischer, James A. Lott, Daniel Brunner, Stephan Reitzenstein

CoRR, 2020

Bandwidth Enhanced Operation of Photonic Time Delay Reservoir Computing.

Irene Estébanez, Janek Schwind, Ingo Fischer, Apostolos Argyris

Proceedings of the European Conference on Optical Communications, 2020

2019

PAM-4 Transmission at 1550 nm Using Photonic Reservoir Computing Post-Processing.

Apostolos Argyris, Julian Bueno, Ingo Fischer

IEEE Access, 2019

Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation.

Miguel C. Soriano, Pau Massuti-Ballester, Jesús Yelo, Ingo Fischer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2017

Reinforcement Learning in a large scale photonic Recurrent Neural Network.

Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2017

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

Apostolos Argyris, Julian Bueno, Ingo Fischer

Proceedings of the European Conference on Optical Communication, 2017

2016

CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT.

Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Günes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer

IEEE Access, 2016

All-optical neuromorphic computing in optical networks of semiconductor lasers.

Daniel Brunner, Stephan Reitzenstein, Ingo Fischer

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015

Electrocardiogram Classification Using Reservoir Computing With Logistic Regression.

Miguel Angel Escalona-Moran, Miguel C. Soriano, Ingo Fischer, Claudio R. Mirasso

IEEE J. Biomed. Health Informatics, 2015

Digital Implementation of a Single Dynamical Node Reservoir Computer.

Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Moran, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló

IEEE Trans. Circuits Syst. II Express Briefs, 2015

Photonic delay systems as machine learning implementations.

Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer

J. Mach. Learn. Res., 2015

Minimal approach to neuro-inspired information processing.

Miguel C. Soriano, Daniel Brunner, Miguel Angel Escalona-Moran, Claudio R. Mirasso, Ingo Fischer

Frontiers Comput. Neurosci., 2015

2014

Reservoir computing with a single time-delay autonomous Boolean node.

Nicholas D. Haynes, Miguel C. Soriano, Ingo Fischer, Daniel J. Gauthier

CoRR, 2014

2007

Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying.

Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso

Proceedings of the Artificial Neural Networks, 2007