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2020 – today
- 2024
[c25]Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello:
Invited: Neuromorphic Architectures Based on Augmented Silicon Photonics Platforms. DAC 2024: 359:1-359:4- [c24]Muhammed Gouda, Steven Abreu, Peter Bienstman:
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 2024: 1-4 - [i11]Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello:
Invited: Neuromorphic architectures based on augmented silicon photonics platforms. CoRR abs/2407.06240 (2024) - 2023
- [c23]Steven Abreu
, Muhammed Gouda, Alessio Lugnan, Peter Bienstman:
Flow cytometry with event-based vision and spiking neuromorphic hardware. CVPR Workshops 2023: 4139-4147 - [c22]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:
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. ETS 2023: 1-6 - [c21]Alessio Lugnan, Santiago Garcia-Cuevas Carrillo, Junchao Song, Samarth Aggarwal, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright, Peter Bienstman:
Silicon Ring Resonator with Phase-Change Material as a Plastic Dynamical Node for Scalable All-Optical Neural Networks with Synaptic Plasticity. ICTON 2023: 1-4 - [c20]Tigers Jonuzi, Sarah Masaad, Alessandro Lupo, J. David Doménech Gomez, Peter Bienstman, Serge Massar:
Numerical Analysis of a Self-Calibrating Time-Spatial Interleaving Photonic Convolutional Accelerator. PSC 2023: 1-4 - [c19]Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino:
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. VTS 2023: 1-10 - [i10]Muhammed Gouda, Steven Abreu, Alessio Lugnan, Peter Bienstman:
Training a spiking neural network on an event-based label-free flow cytometry dataset. CoRR abs/2303.10632 (2023) - [i9]Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino:
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. CoRR abs/2305.01818 (2023) - [i8]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:
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. CoRR abs/2305.03139 (2023) - 2022
- [i7]Kostas Sozos, Adonis Bogris, Peter Bienstman, George Sarantoglou, Stavros Deligiannidis, Charis Mesaritakis:
High Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks. CoRR abs/2203.15807 (2022) - 2021
- [c18]Stijn Sackesyn, Chonghuai Ma, Joni Dambre, Peter Bienstman:
Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing. ECOC 2021: 1-4 - [c17]Kostas Sozos, Adonis Bogris, Peter Bienstman, Charis Mesaritakis:
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 2021: 1-4 - [p1]Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman:
Computing with Integrated Photonic Reservoirs. Reservoir Computing 2021: 397-419 - 2020
- [c16]Zhi Wang, Qiang Li, Ziling Fu, Andrew Katumba, Florian Denis-Le Coarer, Damien Rontani, Marc Sciamanna, Peter Bienstman:
Threshold Plasticity of Hybrid Sİ-VO2 Microring Resonators. OFC 2020: 1-3
2010 – 2019
- 2019
- [j11]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs With Integrated Optical Readout. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1943-1953 (2019) - [c15]Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman:
A Power-Efficient Architecture for On-Chip Reservoir Computing. ICANN (Workshop) 2019: 161-164 - [c14]Chonghuai Ma, Stijn Sackesyn, Joni Dambre, Peter Bienstman:
All-Optical Readout for Integrated Photonic Reservoir Computing. ICTON 2019: 1-4 - [i6]Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman:
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout. CoRR abs/1908.02728 (2019) - [i5]Matthias Freiberger, Peter Bienstman, Joni Dambre:
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping. CoRR abs/1910.13332 (2019) - 2018
- [c13]Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman:
Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited). ECOC 2018: 1-3 - [c12]Floris Laporte, Joni Dambre, Peter Bienstman:
Neuromorphic Computing with Signal-Mixing Cavities. ICRC 2018: 1-4 - [c11]Alessio Lugnan, Joni Dambre, Peter Bienstman:
Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns. ICTON 2018: 1-4 - [c10]Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan:
Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. OFC 2018: 1-3 - [i4]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs with Integrated Optical Readout. CoRR abs/1810.03377 (2018) - 2017
- [j10]Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre:
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. Cogn. Comput. 9(3): 307-314 (2017) - [c9]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. ICRC 2017: 1-4 - [c8]Floris Laporte, Joni Dambre, Peter Bienstman:
Reservoir computing with signal-mixing cavities. ICTON 2017: 1-4 - 2016
- [j9]Bendix Schneider, Joni Dambre, Peter Bienstman:
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2748-2753 (2016) - [c7]Andrew Katumba, Bendix Schneider, Joni Dambre, Peter Bienstman:
An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications. ICTON 2016: 1 - [c6]Roel Baets, Ananth Z. Subramanian, Stephane Clemmen, Bart Kuyken, Peter Bienstman, Nicolas Le Thomas, Gunther Roelkens, Dries Van Thourhout, Philippe Hélin, Simone Severi:
Silicon photonics: Silicon nitride versus silicon-on-insulator. OFC 2016: 1-3 - 2015
- [j8]Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer:
Photonic delay systems as machine learning implementations. J. Mach. Learn. Res. 16: 2081-2097 (2015) - [j7]Michiel Hermans, Joni Dambre, Peter Bienstman:
Optoelectronic Systems Trained With Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1545-1550 (2015) - [c5]R. Morarescu, P. K. Pal, X. Han, M. Zhao, Peter Bienstman, Geert Morthier:
Polymer microring resonators for biosensing applications by nanoimprint lithography. ICTON 2015: 1-4 - [c4]Bendix Schneider, Geert Vanmeerbeeck, Richard Stahl, Liesbet Lagae, Joni Dambre, Peter Bienstman:
Neural network for blood cell classification in a holographic microscopy system. ICTON 2015: 1-4 - [c3]Andrew Katumba, Peter Bienstman, Joni Dambre:
Photonic reservoir computing approaches to nanoscale computation. NANOCOM 2015: 23:1-23:2 - [i3]Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer:
Photonic Delay Systems as Machine Learning Implementations. CoRR abs/1501.02592 (2015) - [i2]Quentin Vinckier, François Duport, Anteo Smerieri, Kristof Vandoorne, Peter Bienstman, Marc Haelterman, Serge Massar:
High performance photonic reservoir computer based on a coherently driven passive cavity. CoRR abs/1501.03024 (2015) - 2014
- [j6]Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman:
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. IEEE Trans. Neural Networks Learn. Syst. 25(2): 344-355 (2014) - [c2]Jan-Willem Hoste, Bruno G. De Geest, Peter Bienstman:
Employing a dual polarisation microring to determine refractive index and thickness of a thin polymer layer. ICTON 2014: 1-4 - [i1]Michiel Hermans, Michael Burm, Joni Dambre, Peter Bienstman:
Trainable and Dynamic Computing: Error Backpropagation through Physical Media. CoRR abs/1407.6637 (2014) - 2013
- [j5]Martin Fiers, Emmanuel Lambert, Shibnath Pathak, Bjorn Maes, Peter Bienstman, Wim Bogaerts, Pieter Dumon:
Improving the design cycle for nanophotonic components. J. Comput. Sci. 4(5): 313-324 (2013) - 2011
- [j4]Emmanuel Lambert, Martin Fiers, Shavkat Nizamov, Martijn Tassaert, Steven G. Johnson, Peter Bienstman, Wim Bogaerts:
Python Bindings for the Open Source Electromagnetic Simulator Meep. Comput. Sci. Eng. 13(3): 53-65 (2011) - [j3]Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman:
Parallel Reservoir Computing Using Optical Amplifiers. IEEE Trans. Neural Networks 22(9): 1469-1481 (2011)
2000 – 2009
- 2008
- [c1]Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Peter Bienstman, Roel Baets, Jan M. Van Campenhout:
Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers. OSC 2008: 46-55 - 2007
- [j2]Peter Bienstman, Lieven Vanholme, Wim Bogaerts, Pieter Dumon, Peter Vandersteegen:
Python in Nanophotonics Research. Comput. Sci. Eng. 9(3): 46-47 (2007) - 2005
- [j1]Jan M. Van Campenhout, Peter Bienstman, Roel Baets:
Band-edge lasing in gold-clad photonic-crystal membranes. IEEE J. Sel. Areas Commun. 23(7): 1418-1423 (2005)
Coauthor Index
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last updated on 2024-11-13 23:48 CET by the dblp team
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