Ghent University Academic Bibliography

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- Book Chapter
Computing with integrated photonic reservoirs

Joni Dambre (UGent) , Andrew Katumba (UGent) , Chonghuai Ma, 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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- Journal Article
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- open access
Improving time series recognition and prediction with networks and ensembles of passive photonic reservoirs

Matthias Freiberger (UGent) , Stijn Sackesyn (UGent) , Chonghuai Ma, 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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Photonic reservoir computing

Floris Laporte, Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Chonghuai Ma, 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
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- 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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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

(2019) Active Photonic Platforms XI. In Proceedings of SPIE 11081.
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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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- Journal Article
- A1
- open access
A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection

Andrew Katumba (UGent) , Xin Yin (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2019) JOURNAL OF LIGHTWAVE TECHNOLOGY. 37(10). p.2232-2239
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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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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 and Emmanuel Gooskens (UGent)

(2019) ECOC Machine Learning Workshop 2019, Abstracts.
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A power-efficient architecture for on-chip reservoir computing

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

(2019) Artificial neural networks and machine learning – ICANN 2019 : workshop and special sessions. In Lecture Notes in Computer Science 11731. p.161-164

Academic Bibliography

Computing with integrated photonic reservoirs

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

Photonic reservoir computing

Photonic neuromorphic information processing and reservoir computing

Neuromorphic information processing using silicon photonics

Silicon photonics reservoir computing at 32 Gbit/s

A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection

Training passive photonic reservoirs with integrated optical readout

Non-linear signal equalisation using silicon photonic reservoir computing

A power-efficient architecture for on-chip reservoir computing

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