Ghent University Academic Bibliography

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Photonic neuromorphic information processing and reservoir computing

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

(2020) APL Photonics. 5. p.1-14
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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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A power-efficient architecture for on-chip reservoir computing

Stijn Sackesyn (UGent) , Chonghuai Ma (UGent) , 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
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Study on the limit of detection in MZI-based biosensor systems

Daan Martens (UGent) and Peter Bienstman (UGent)

(2019) SCIENTIFIC REPORTS. 9.
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Photontorch : simulation and optimization of large photonic circuits using the deep learning framework PyTorch

Floris Laporte (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2019) 2019 IEEE Photonics Society Summer Topical Meeting Series (SUM).
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Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications

Santiago G.-C. Carrillo, Emanuele Gemo, Xuan Li, Nathan Youngblood, Andrew Katumba (UGent) , Peter Bienstman (UGent) , Wolfram Pernice, Harish Bhaskaran and C. David Wright

(2019) APL MATERIALS. 7(9).
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Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

Floris Laporte (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2019) SCIENTIFIC REPORTS. 9.
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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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Neuromorphic information processing using silicon photonics

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

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

Academic Bibliography

Photonic neuromorphic information processing and reservoir computing

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

A power-efficient architecture for on-chip reservoir computing

Study on the limit of detection in MZI-based biosensor systems

Photontorch : simulation and optimization of large photonic circuits using the deep learning framework PyTorch

Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

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

Training passive photonic reservoirs with integrated optical readout

Neuromorphic information processing using silicon photonics

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