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Optics Express
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June 11, 2024
Surrogate gradient learning in spiking networks trained on event-based cytometry dataset
Muhammed Gouda, Steven Abreu, Peter Bienstman
Optics Express
|
December 18, 2010
Experimental characterization of a silicon photonic biosensor consisting of two cascaded ring resonators based on the Vernier-effect and introduction of a curve fitting method for an improved detection limit
Tom Claes, Wim Bogaerts, Peter Bienstman
IEEE Transactions on Neural Networks and Learning Systems
|
December 2, 2015
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems
Bendix Schneider, Joni Dambre, Peter Bienstman
Optics Express
|
December 10, 2017
Integrated pillar scatterers for speeding up classification of cell holograms
Alessio Lugnan, Joni Dambre, Peter Bienstman
Optics Letters
|
May 16, 2003
Scattering at sidewall roughness in photonic crystal slabs
Wim Bogaerts, Peter Bienstman, Roel Baets
Scientific Reports
|
January 30, 2021
Simulating self-learning in photorefractive optical reservoir computers
Floris Laporte, Joni Dambre, Peter Bienstman
IEEE Transactions on Neural Networks and Learning Systems
|
August 20, 2014
Optoelectronic Systems Trained With Backpropagation Through Time
Michiel Hermans, Joni Dambre, Peter Bienstman
Optics Express
|
June 11, 2008
Symmetry breaking with coupled Fano resonances
Björn Maes, Peter Bienstman, Roel Baets
Journal of Biomedical Optics
|
December 23, 2018
Label-free real-time optical monitoring of DNA hybridization using SiN Mach-Zehnder interferometer-based integrated biosensing platform
Mohammed Sharif Murib, Daan Martens, Peter Bienstman
IEEE Transactions on Neural Networks and Learning Systems
|
November 3, 2018
Training Passive Photonic Reservoirs With Integrated Optical Readout
Matthias Freiberger, Andrew Katumba, Peter Bienstman, et al.
Page
of 8
Search research articles
Search
Showing results (11-20 of 75) with videos related to
Sort By:
Page
of 8
Optics Express
|
June 11, 2024
Surrogate gradient learning in spiking networks trained on event-based cytometry dataset
Muhammed Gouda, Steven Abreu, Peter Bienstman
Optics Express
|
December 18, 2010
Experimental characterization of a silicon photonic biosensor consisting of two cascaded ring resonators based on the Vernier-effect and introduction of a curve fitting method for an improved detection limit
Tom Claes, Wim Bogaerts, Peter Bienstman
IEEE Transactions on Neural Networks and Learning Systems
|
December 2, 2015
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems
Bendix Schneider, Joni Dambre, Peter Bienstman
Optics Express
|
December 10, 2017
Integrated pillar scatterers for speeding up classification of cell holograms
Alessio Lugnan, Joni Dambre, Peter Bienstman
Optics Letters
|
May 16, 2003
Scattering at sidewall roughness in photonic crystal slabs
Wim Bogaerts, Peter Bienstman, Roel Baets
Scientific Reports
|
January 30, 2021
Simulating self-learning in photorefractive optical reservoir computers
Floris Laporte, Joni Dambre, Peter Bienstman
IEEE Transactions on Neural Networks and Learning Systems
|
August 20, 2014
Optoelectronic Systems Trained With Backpropagation Through Time
Michiel Hermans, Joni Dambre, Peter Bienstman
Optics Express
|
June 11, 2008
Symmetry breaking with coupled Fano resonances
Björn Maes, Peter Bienstman, Roel Baets
Journal of Biomedical Optics
|
December 23, 2018
Label-free real-time optical monitoring of DNA hybridization using SiN Mach-Zehnder interferometer-based integrated biosensing platform
Mohammed Sharif Murib, Daan Martens, Peter Bienstman
IEEE Transactions on Neural Networks and Learning Systems
|
November 3, 2018
Training Passive Photonic Reservoirs With Integrated Optical Readout
Matthias Freiberger, Andrew Katumba, Peter Bienstman, et al.
Page
of 8