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2020 – today
- 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 - 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, G. 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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