Browsing Articles by imec author "90df67039813916c7eddb879979401026c8c9186"
Now showing items 21-40 of 52
-
Excitation transfer between optically injected microdisk lasers
Van Vaerenbergh, Thomas; Alexander, Koen; Dambre, Joni; Bienstman, Peter (2013-11) -
Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation
Sackesyn, Stijn; Ma, Chonghuai; Dambre, Joni; Bienstman, Peter (2021) -
Fast particle characterization using digital holography and neural networks
Schneider, Bendix; Dambre, Joni; Bienstman, Peter (2016-01) -
Hardware-Aware Mobile Building Block Evaluation for Computer Vision
Bonnaerens, Maxim; Freiberger, Matthias; Verhelst, Marian; Dambre, Joni (2022) -
Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
Laporte, Floris; Dambre, Joni; Bienstman, Peter (2019-04) -
Improving time series recognition and prediction with networks and ensembles of passive photonic reservoirs
Freiberger, Matthias; Sackesyn, Stijn; Ma, Chonghuai; Katumba, Andrew; Bienstman, Peter; Dambre, Joni (2020-01) -
Integrated photonic reservoir computing with an all-optical readout
Ma, Chonghuai; Van Kerrebrouck, Joris; Deng, Hong; Sackesyn, Stijn; Gooskens, Emmanuel; Bai, Bing; Dambre, Joni; Bienstman, Peter (2023) -
Integrated pillar scatterers for speeding up classification of cell holograms
Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2017-11) -
Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation
De Coster, Mathieu; Dambre, Joni (2022) -
Leveraging robotics research for children with autism: A review
Ismail, L.; Verhoeven, Thibault; Dambre, Joni; Wyffels, Francis (2019-06) -
Low-loss photonic reservoir computing with multimode photonic integrated circuit
Katumba, Andrew; Heyvaert, Jelle; Schneider, Bendix; Uvin, Sarah; Dambre, Joni; Bienstman, Peter (2018-02) -
Lumped circuit heat model of photonic crystal membrane nanocavities
Van Vaerenbergh, Thomas; Dambre, Joni; Bienstman, Peter; Levenson, Juan Ariel; Yacomotti, Alejandro M. (2013-11) -
Machine learning issues and opportunities in ultrafast particle classiication for label-free microflow cymetry
Lugnan, Alessio; Gooskens, Emmanuel; Vatin, Jeremy; Dambre, Joni; Bienstman, Peter (2020-11) -
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential
Cools-Ceuppens, Maarten; Dambre, Joni; Verstraelen, Toon (2022) -
Morphological properties of mass-spring networks for optimal locomotion learning
Urbain, Gabriel; Degrave, Jonas; Carette, Benonie; Dambre, Joni; Wyffels, Francis (2017-03) -
Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns
Fiers, Martin; Van Vaerenbergh, Thomas; Wyffels, Francis; Verstraeten, David; Schrauwen, Jonathan; Dambre, Joni; Bienstman, Peter (2014) -
Neuromorphic computing based on silicon photonics and reservoir computing
Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai; Dambre, Joni; Bienstman, Peter (2018-11) -
Numerical demonstration of neuromorphic computing with photonic crystal cavities
Laporte, Floris; Katumba, Andrew; Dambre, Joni; Bienstman, Peter (2018-04) -
Optoelectronic systems trained with backpropagation through time
Hermans, Michiel; Dambre, Joni; Bienstman, Peter (2015-07) -
Parallel reservoir computing using optical amplifiers
Vandoorne, Kristof; Dambre, Joni; Verstraeten, David; Schrauwen, Benjamin; Bienstman, Peter (2011)