Peter Bienstman

52 papers A* 1B 1Misc 2Journal 25Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	How to Incorporate External Fields in Analog Ising Machines. CoRR Robbe De Prins, Jacob Lamers, Peter Bienstman, Guy van der Sande, Guy Verschaffelt, Thomas Van Vaerenbergh
2025	—	`conf`	Integrated Recurrent Optical Spectral Slicer for Equalization of 100-km C-band IM/DD Transmission. ECOC Isidora Teofilovic, Kostas Sozos, Hao Liu, Stéphane Malhouitre, S. Garcia, George Sarantoglou, Peter Bienstman, Benoît Charbonnier, Charis Mesaritakis, Caterina Vigliar, Periklis Petropoulos, Adonis Bogris, Francesco Da Ros
2025	J	`jnl`	LuxIA: A Lightweight Unitary matriX-based Framework Built on an Iterative Algorithm for Photonic Neural Network Training. CoRR Tzamn Melendez Carmona, Federico Marchesin, Marco P. Abrate, Peter Bienstman, Stefano Di Carlo, Alessandro Savino Senior
2025	J	`jnl`	Roadmap on Neuromorphic Photonics. CoRR Daniel Brunner, Bhavin J. Shastri, Mohammed Al-Qadasi, Hitesh Ballani, Sylvain Barbay, Stefano Biasi, Peter Bienstman, Simon Bilodeau, Wim Bogaerts, Fabian Böhm, Grace Brennan, Sonia M. Buckley, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro J. Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, Douglas J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera
2024	—	`conf`	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. ICTON Muhammed Gouda, Steven Abreu, Peter Bienstman
2024	A*	`conf`	Invited: Neuromorphic Architectures Based on Augmented Silicon Photonics Platforms. DAC Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello
2024	J	`jnl`	Invited: Neuromorphic architectures based on augmented silicon photonics platforms. CoRR Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello
2023	B	`conf`	EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. ETS 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
2023	—	`conf`	Flow cytometry with event-based vision and spiking neuromorphic hardware. CVPR Workshops Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman
2023	J	`jnl`	NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. CoRR 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
2023	Misc	`conf`	Numerical Analysis of a Self-Calibrating Time-Spatial Interleaving Photonic Convolutional Accelerator. PSC Tigers Jonuzi, Sarah Masaad, Alessandro Lupo, J. David Doménech Gomez, Peter Bienstman, Serge Massar
2023	—	`conf`	Silicon Ring Resonator with Phase-Change Material as a Plastic Dynamical Node for Scalable All-Optical Neural Networks with Synaptic Plasticity. ICTON Alessio Lugnan, Santiago Garcia-Cuevas Carrillo, Junchao Song, Samarth Aggarwal, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright, Peter Bienstman
2023	Misc	`conf`	Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. VTS Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino
2023	J	`jnl`	Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. CoRR Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino
2023	J	`jnl`	Training a spiking neural network on an event-based label-free flow cytometry dataset. CoRR Muhammed Gouda, Steven Abreu, Alessio Lugnan, Peter Bienstman
2022	J	`jnl`	High Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks. CoRR Kostas Sozos, Adonis Bogris, Peter Bienstman, George Sarantoglou, Stavros Deligiannidis, Charis Mesaritakis
2021	—	`ch.`	Computing with Integrated Photonic Reservoirs. Reservoir Computing Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman
2021	—	`conf`	Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing. ECOC Stijn Sackesyn, Chonghuai Ma, Joni Dambre, Peter Bienstman
2021	—	`conf`	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. ECOC Kostas Sozos, Adonis Bogris, Peter Bienstman, Charis Mesaritakis
2020	—	`conf`	Threshold Plasticity of Hybrid Sİ-VO2 Microring Resonators. OFC Zhi Wang, Qiang Li, Ziling Fu, Andrew Katumba, Florian Denis-Le Coarer, Damien Rontani, Marc Sciamanna, Peter Bienstman
2019	—	`conf`	A Power-Efficient Architecture for On-Chip Reservoir Computing. ICANN (Workshop) Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman
2019	J	`jnl`	Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout. CoRR Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman
2019	—	`conf`	All-Optical Readout for Integrated Photonic Reservoir Computing. ICTON Chonghuai Ma, Stijn Sackesyn, Joni Dambre, Peter Bienstman
2019	J	`jnl`	Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping. CoRR Matthias Freiberger, Peter Bienstman, Joni Dambre
2019	J	`jnl`	Training Passive Photonic Reservoirs With Integrated Optical Readout. IEEE Trans. Neural Networks Learn. Syst. Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
2018	—	`conf`	Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns. ICTON Alessio Lugnan, Joni Dambre, Peter Bienstman
2018	—	`conf`	Neuromorphic Computing with Signal-Mixing Cavities. ICRC Floris Laporte, Joni Dambre, Peter Bienstman
2018	—	`conf`	Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. OFC Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan
2018	—	`conf`	Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited). ECOC Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman
2018	J	`jnl`	Training Passive Photonic Reservoirs with Integrated Optical Readout. CoRR Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
2017	J	`jnl`	A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. Cogn. Comput. Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre
2017	—	`conf`	On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. ICRC Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
2017	—	`conf`	Reservoir computing with signal-mixing cavities. ICTON Floris Laporte, Joni Dambre, Peter Bienstman
2016	—	`conf`	An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications. ICTON Andrew Katumba, Bendix Schneider, Joni Dambre, Peter Bienstman
2016	—	`conf`	Silicon photonics: Silicon nitride versus silicon-on-insulator. OFC Roel Baets, Ananth Z. Subramanian, Stephane Clemmen, Bart Kuyken, Peter Bienstman, Nicolas Le Thomas, Gunther Roelkens, Dries Van Thourhout, Philippe Hélin, Simone Severi
2016	J	`jnl`	Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems. IEEE Trans. Neural Networks Learn. Syst. Bendix Schneider, Joni Dambre, Peter Bienstman
2015	J	`jnl`	High performance photonic reservoir computer based on a coherently driven passive cavity. CoRR Quentin Vinckier, François Duport, Anteo Smerieri, Kristof Vandoorne, Peter Bienstman, Marc Haelterman, Serge Massar
2015	—	`conf`	Neural network for blood cell classification in a holographic microscopy system. ICTON Bendix Schneider, Geert Vanmeerbeeck, Richard Stahl, Liesbet Lagae, Joni Dambre, Peter Bienstman
2015	J	`jnl`	Optoelectronic Systems Trained With Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. Michiel Hermans, Joni Dambre, Peter Bienstman
2015	J	`jnl`	Photonic Delay Systems as Machine Learning Implementations. CoRR Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
2015	J	`jnl`	Photonic delay systems as machine learning implementations. J. Mach. Learn. Res. Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
2015	—	`conf`	Photonic reservoir computing approaches to nanoscale computation. NANOCOM Andrew Katumba, Peter Bienstman, Joni Dambre
2015	—	`conf`	Polymer microring resonators for biosensing applications by nanoimprint lithography. ICTON R. Morarescu, P. K. Pal, X. Han, M. Zhao, Peter Bienstman, Geert Morthier
2014	—	`conf`	Employing a dual polarisation microring to determine refractive index and thickness of a thin polymer layer. ICTON Jan-Willem Hoste, Bruno G. De Geest, Peter Bienstman
2014	J	`jnl`	Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. IEEE Trans. Neural Networks Learn. Syst. Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman
2014	J	`jnl`	Trainable and Dynamic Computing: Error Backpropagation through Physical Media. CoRR Michiel Hermans, Michael Burm, Joni Dambre, Peter Bienstman
2013	J	`jnl`	Improving the design cycle for nanophotonic components. J. Comput. Sci. Martin Fiers, Emmanuel Lambert, Shibnath Pathak, Bjorn Maes, Peter Bienstman, Wim Bogaerts, Pieter Dumon
2011	J	`jnl`	Parallel Reservoir Computing Using Optical Amplifiers. IEEE Trans. Neural Networks Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman
2011	J	`jnl`	Python Bindings for the Open Source Electromagnetic Simulator Meep. Comput. Sci. Eng. Emmanuel Lambert, Martin Fiers, Shavkat Nizamov, Martijn Tassaert, Steven G. Johnson, Peter Bienstman, Wim Bogaerts
2008	—	`conf`	Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers. OSC Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Peter Bienstman, Roel Baets, Jan M. Van Campenhout
2007	J	`jnl`	Python in Nanophotonics Research. Comput. Sci. Eng. Peter Bienstman, Lieven Vanholme, Wim Bogaerts, Pieter Dumon, Peter Vandersteegen
2005	J	`jnl`	Band-edge lasing in gold-clad photonic-crystal membranes. IEEE J. Sel. Areas Commun. Jan M. Van Campenhout, Peter Bienstman, Roel Baets