Zobrazeno 1 - 10
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pro vyhledávání: '"Duport, François"'
Autor:
Akrout, Akram, Bouwens, Arno, Duport, François, Vinckier, Quentin, Haelterman, Marc, Massar, Serge
Today's unrelenting increase in demand for information processing creates the need for novel computing concepts. Reservoir computing is such a concept that lends itself particularly well to photonic hardware implementations. Over recent years, these
Externí odkaz:
http://arxiv.org/abs/1612.08606
Autor:
Antonik, Piotr, Duport, François, Hermans, Michiel, Smerieri, Anteo, Haelterman, Marc, Massar, Serge
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems ( Volume: 28, Issue: 11, Nov. 2017 )
Reservoir Computing is a bio-inspired computing paradigm for processing time dependent signals. The performance of its analogue implementation are comparable to other state of the art algorithms for tasks such as speech recognition or chaotic time se
Externí odkaz:
http://arxiv.org/abs/1610.06268
Autor:
Nguyen, Anh Dung, Duport, François, Bouwens, Arno, Vanholsbeeck, Frédérique, Egrise, Dominique, Van Simayes, Gaetan, Emplit, Philippe, Goldman, Serge, Gorza, Simon-Pierre
We demonstrate a significant resolution enhancement beyond the conventional limit in multiphoton microscopy (MPM) using saturated excitation of fluorescence. Our technique achieves super-resolved imaging by temporally modulating the excitation laser-
Externí odkaz:
http://arxiv.org/abs/1507.01408
Autor:
Vinckier, Quentin, Duport, François, Smerieri, Anteo, Vandoorne, Kristof, Bienstman, Peter, Haelterman, Marc, Massar, Serge
Publikováno v:
Optica 2, Issue 5, pp. 438-446 (2015)
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has enabled a breakthrough in analog information processing, with several experiments, both electronic and optical, demonstrating state-of-the-art perform
Externí odkaz:
http://arxiv.org/abs/1501.03024
Autor:
Duport, François
Cette thèse présente l'étude et la réalisation d'un composant à base de polymère électro-optique pour la conversion de signal du domaine optique vers le domaine hyperfréquence. Le principe physique mis en oeuvre dans le composant est celui du
Reservoir computing is an information processing technique, derived from the theory of neural networks, which is easy to implement in hardware. Several reservoir computer hardware implementations have been realized recently with performance comparabl
Externí odkaz:
http://arxiv.org/abs/1406.3238
Autor:
Smerieri, Anteo, Duport, François, Paquot, Yvan, Schrauwen, Benjamin, Haelterman, Marc, Massar, Serge
Publikováno v:
Advances in Neural Information Processing Systems (NIPS) 25, 953-961 (2012)
Reservoir computing is a new, powerful and flexible machine learning technique that is easily implemented in hardware. Recently, by using a time-multiplexed architecture, hardware reservoir computers have reached performance comparable to digital imp
Externí odkaz:
http://arxiv.org/abs/1209.3129
Publikováno v:
Optics Express, Vol. 20 Issue 20, pp.22783-22795 (2012)
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system to carry out information processing. Recent electronic and optoelectronic Reservoir Computers based on an architecture with a single nonlinear node an
Externí odkaz:
http://arxiv.org/abs/1207.1619
Autor:
Paquot, Yvan, Duport, François, Smerieri, Anteo, Dambre, Joni, Schrauwen, Benjamin, Haelterman, Marc, Massar, Serge
Publikováno v:
Scientific Reports 2, Article number: 287, (2012)
Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a
Externí odkaz:
http://arxiv.org/abs/1111.7219
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