Peter Bienstman

According to our database, Peter Bienstman authored at least 44 papers between 2005 and 2024.

Collaborative distances:

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

2024

Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets.

Muhammed Gouda, Steven Abreu, Peter Bienstman

Proceedings of the 24th International Conference on Transparent Optical Networks, 2024

Invited: Neuromorphic Architectures Based on Augmented Silicon Photonics Platforms.

Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.

Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino

CoRR, 2023

Training a spiking neural network on an event-based label-free flow cytometry dataset.

Muhammed Gouda, Steven Abreu, Alessio Lugnan, Peter Bienstman

CoRR, 2023

Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies.

Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino

Proceedings of the 41st IEEE VLSI Test Symposium, 2023

Numerical Analysis of a Self-Calibrating Time-Spatial Interleaving Photonic Convolutional Accelerator.

Tigers Jonuzi, Sarah Masaad, Alessandro Lupo, J. David Doménech Gomez, Peter Bienstman, Serge Massar

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

Silicon Ring Resonator with Phase-Change Material as a Plastic Dynamical Node for Scalable All-Optical Neural Networks with Synaptic Plasticity.

Alessio Lugnan, Santiago Garcia-Cuevas Carrillo, Junchao Song, Samarth Aggarwal, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright, Peter Bienstman

Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.

Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino

Proceedings of the IEEE European Test Symposium, 2023

Flow cytometry with event-based vision and spiking neuromorphic hardware.

Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

High Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks.

Kostas Sozos, Adonis Bogris, Peter Bienstman, George Sarantoglou, Stavros Deligiannidis, Charis Mesaritakis

CoRR, 2022

2021

Computing with Integrated Photonic Reservoirs.

Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman

Proceedings of the Reservoir Computing, 2021

Photonic Reservoir Computing based on Optical Filters in a Loop as a High Performance and Low-Power Consumption Equalizer for 100 Gbaud Direct Detection Systems.

Kostas Sozos, Adonis Bogris, Peter Bienstman, Charis Mesaritakis

Proceedings of the European Conference on Optical Communication, 2021

Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing.

Stijn Sackesyn, Chonghuai Ma, Joni Dambre, Peter Bienstman

Proceedings of the European Conference on Optical Communication, 2021

2020

Threshold Plasticity of Hybrid Sİ-VO2 Microring Resonators.

Zhi Wang, Qiang Li, Ziling Fu, Andrew Katumba, Florian Denis-Le Coarer, Damien Rontani, Marc Sciamanna, Peter Bienstman

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2019

Training Passive Photonic Reservoirs With Integrated Optical Readout.

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

IEEE Trans. Neural Networks Learn. Syst., 2019

Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping.

Matthias Freiberger, Peter Bienstman, Joni Dambre

CoRR, 2019

Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout.

Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman

CoRR, 2019

All-Optical Readout for Integrated Photonic Reservoir Computing.

Chonghuai Ma, Stijn Sackesyn, Joni Dambre, Peter Bienstman

Proceedings of the 21st International Conference on Transparent Optical Networks, 2019

A Power-Efficient Architecture for On-Chip Reservoir Computing.

Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman

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

2018

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing.

Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns.

Alessio Lugnan, Joni Dambre, Peter Bienstman

Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018

Neuromorphic Computing with Signal-Mixing Cavities.

Floris Laporte, Joni Dambre, Peter Bienstman

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited).

Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman

Proceedings of the European Conference on Optical Communication, 2018

2017

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing.

Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre

Cogn. Comput., 2017

Reservoir computing with signal-mixing cavities.

Floris Laporte, Joni Dambre, Peter Bienstman

Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017

On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout.

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems.

Bendix Schneider, Joni Dambre, Peter Bienstman

IEEE Trans. Neural Networks Learn. Syst., 2016

Silicon photonics: Silicon nitride versus silicon-on-insulator.

Roel Baets, Ananth Z. Subramanian, Stephane Clemmen, Bart Kuyken, Peter Bienstman, Nicolas Le Thomas, Gunther Roelkens, Dries Van Thourhout, Philippe Hélin, Simone Severi

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications.

Andrew Katumba, Bendix Schneider, Joni Dambre, Peter Bienstman

Proceedings of the 18th International Conference on Transparent Optical Networks, 2016

2015

Optoelectronic Systems Trained With Backpropagation Through Time.

Michiel Hermans, Joni Dambre, Peter Bienstman

IEEE Trans. Neural Networks Learn. Syst., 2015

Photonic delay systems as machine learning implementations.

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

J. Mach. Learn. Res., 2015

High performance photonic reservoir computer based on a coherently driven passive cavity.

Quentin Vinckier, François Duport, Anteo Smerieri, Kristof Vandoorne, Peter Bienstman, Marc Haelterman, Serge Massar

CoRR, 2015

Photonic reservoir computing approaches to nanoscale computation.

Andrew Katumba, Peter Bienstman, Joni Dambre

Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication, 2015

Neural network for blood cell classification in a holographic microscopy system.

Bendix Schneider, Geert Vanmeerbeeck, Richard Stahl, Liesbet Lagae, Joni Dambre, Peter Bienstman

Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

Polymer microring resonators for biosensing applications by nanoimprint lithography.

R. Morarescu, P. K. Pal, X. Han, M. Zhao, Peter Bienstman, Geert Morthier

Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

2014

Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns.

Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman

IEEE Trans. Neural Networks Learn. Syst., 2014

Trainable and Dynamic Computing: Error Backpropagation through Physical Media.

Michiel Hermans, Michael Burm, Joni Dambre, Peter Bienstman

CoRR, 2014

Employing a dual polarisation microring to determine refractive index and thickness of a thin polymer layer.

Jan-Willem Hoste, Bruno G. De Geest, Peter Bienstman

Proceedings of the 16th International Conference on Transparent Optical Networks, 2014

2013

Improving the design cycle for nanophotonic components.

Martin Fiers, Emmanuel Lambert, Shibnath Pathak, Bjorn Maes, Peter Bienstman, Wim Bogaerts, Pieter Dumon

J. Comput. Sci., 2013

2011

Parallel Reservoir Computing Using Optical Amplifiers.

Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman

IEEE Trans. Neural Networks, 2011

Python Bindings for the Open Source Electromagnetic Simulator Meep.

Emmanuel Lambert, Martin Fiers, Shavkat Nizamov, Martijn Tassaert, Steven G. Johnson, Peter Bienstman, Wim Bogaerts

Comput. Sci. Eng., 2011

2008

Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers.

Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Peter Bienstman, Roel Baets, Jan M. Van Campenhout

Proceedings of the Optical Super Computing, First International Workshop, 2008

2007

Python in Nanophotonics Research.

Peter Bienstman, Lieven Vanholme, Wim Bogaerts, Pieter Dumon, Peter Vandersteegen

Comput. Sci. Eng., 2007

2005

Band-edge lasing in gold-clad photonic-crystal membranes.

Jan M. Van Campenhout, Peter Bienstman, Roel Baets

IEEE J. Sel. Areas Commun., 2005