Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Haelterman, Marc"'
We analyze the implication of tristability on localization phenomena in one-dimensional extended dissipative systems. In this context, localized states appear due to the interaction and locking of front waves connecting different extended states. In
Externí odkaz:
http://arxiv.org/abs/2403.07814
We theoretically investigate the dynamics, bifurcation structure and stability of dark localized states emerging in Kerr cavities in the presence of second- and fourth-order dispersion. These states form through the locking of uniform wave fronts, or
Externí odkaz:
http://arxiv.org/abs/2301.11746
Autor:
Poulvellarie, Nicolas, Arabi, Carlos Mas, Ciret, Charles, Combrié, Sylvain, De Rossi, Alfredo, Haelterman, Marc, Raineri, Fabrice, Kuyken, Bart, Gorza, Simon-Pierre, Leo, François
We theoretically and experimentally investigate type II second harmonic generation in III-V-on-insulator wire waveguides. We show that the propagation direction plays a crucial role and that longitudinal field components can be leveraged for robust a
Externí odkaz:
http://arxiv.org/abs/2012.11483
Publikováno v:
Cognitive Computation (Volume: 9, Pages: 297-306, 11 March 2017)
Introduction. Reservoir Computing is a bio-inspired computing paradigm for processing time-dependent signals. The performance of its hardware implementation is comparable to state-of-the-art digital algorithms on a series of benchmark tasks. The majo
Externí odkaz:
http://arxiv.org/abs/2012.10613
Publikováno v:
Neural Processing Letters (Volume: 47, Pages: 1041-1054, 13 April 2017)
Reservoir computing is a bio-inspired computing paradigm for processing time dependent signals. The performance of its analogue implementations matches other digital algorithms on a series of benchmark tasks. Their potential can be further increased
Externí odkaz:
http://arxiv.org/abs/2012.10615
Autor:
Butschek, Lorenz, Akrout, Akram, Dimitriadou, Evangelia, Lupo, Alessandro, Haelterman, Marc, Massar, Serge
Publikováno v:
Optics Letters 47, pp. 782-785 (2022)
Reservoir computing is a brain inspired approach for information processing, well suited to analogue implementations. We report a photonic implementation of a reservoir computer that exploits frequency domain multiplexing to encode neuron states. The
Externí odkaz:
http://arxiv.org/abs/2008.11247
Publikováno v:
Phys. Rev. Applied 7, 054014 -- Published 24 May 2017
Reservoir computing is a bio-inspired computing paradigm for processing time-dependent signals. Its hardware implementations have received much attention because of their simplicity and remarkable performance on a series of benchmark tasks. In previo
Externí odkaz:
http://arxiv.org/abs/1802.02026
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
Publikováno v:
Physical Review Letters 117, 128301 (2016)
Delay-coupled electro-optical systems have received much attention for their dynamical properties and their potential use in signal processing. In particular it has recently been demonstrated, using the artificial intelligence algorithm known as rese
Externí odkaz:
http://arxiv.org/abs/1610.06269
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