Ghent University Academic Bibliography

Book Chapter

Computing with integrated photonic reservoirs

Joni Dambre (UGent) , Andrew Katumba (UGent) , Chonghuai Ma (UGent) , Stijn Sackesyn (UGent) , Floris Laporte, Matthias Freiberger (UGent) and Peter Bienstman (UGent)

(2021) Reservoir computing : theory, physical implementations, and applications. In Natural Computing Series p.397-419

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Photonic reservoir computing

Floris Laporte, Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Chonghuai Ma (UGent) , Stijn Sackesyn (UGent) , Emmanuel Gooskens (UGent) , Alessio Lugnan (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2020) Photonic Integration Week, Abstracts.

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Journal Article
A1
open access

Improving time series recognition and prediction with networks and ensembles of passive photonic reservoirs

Matthias Freiberger (UGent) , Stijn Sackesyn (UGent) , Chonghuai Ma (UGent) , Andrew Katumba (UGent) , Peter Bienstman (UGent) and Joni Dambre (UGent)

(2020) IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS. 26(1).

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Journal Article
A1
open access

Photonic neuromorphic information processing and reservoir computing

Alessio Lugnan (UGent) , Andrew Katumba (UGent) , Floris Laporte, Matthias Freiberger (UGent) , Stijn Sackesyn (UGent) , C. Ma, Emmanuel Gooskens (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2020) APL PHOTONICS. 5(2).

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Non-linear signal equalisation using silicon photonic reservoir computing

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte, Alessio Lugnan (UGent) , Stijn Sackesyn (UGent) , Chonghuai Ma (UGent) and Emmanuel Gooskens (UGent)

(2019) ECOC Machine Learning Workshop 2019, Abstracts.

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Neuromorphic information processing using silicon photonics

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte, Alessio Lugnan (UGent) , Stijn Sackesyn (UGent) and Chonghuai Ma (UGent)

(2019) Active Photonic Platforms XI. In Proceedings of SPIE 11081.

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Training passive photonic reservoirs with integrated optical readout

Matthias Freiberger (UGent) , Andrew Katumba (UGent) , Peter Bienstman (UGent) and Joni Dambre (UGent)

(2019) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 30(7). p.1943-1953

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Silicon photonics reservoir computing at 32 Gbit/s

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte, Alessio Lugnan (UGent) , Stijn Sackesyn (UGent) , Chonghuai Ma and Emmanuel Gooskens (UGent)

(2019) 2019 Workshop on Dynamical Systems and Brain-Inspired Information Processing, Abstracts.

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Conference Paper
P1
open access

Silicon photonics for neuromorphic information processing

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte and Alessio Lugnan (UGent)

(2018) OPTICAL DATA SCIENCE: TRENDS SHAPING THE FUTURE OF PHOTONICS. In Proceedings of SPIE 10551. p.1-7

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Conference Paper
P1
open access

Photonic reservoir computing: a brain-inspired approach for information processing (invited paper)

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte and Alessio Lugnan (UGent)

(2018) 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC). p.1-3

Academic Bibliography

Computing with integrated photonic reservoirs

Photonic reservoir computing

Improving time series recognition and prediction with networks and ensembles of passive photonic reservoirs

Photonic neuromorphic information processing and reservoir computing

Non-linear signal equalisation using silicon photonic reservoir computing

Neuromorphic information processing using silicon photonics

Training passive photonic reservoirs with integrated optical readout

Silicon photonics reservoir computing at 32 Gbit/s

Silicon photonics for neuromorphic information processing

Photonic reservoir computing: a brain-inspired approach for information processing (invited paper)

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