Raphaël Laurent

14 papers A 2Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
The Logarithmic Memristor-Based Bayesian Machine.
CoRR
Clement Türck, Kamel-Eddine Harabi, Adrien Pontlevy, Théo Ballet, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz
2023 A conf
Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors.
DATE
Clement Türck, Kamel-Eddine Harabi, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz
2021 J jnl
A Memristor-Based Bayesian Machine.
CoRR
Kamel-Eddine Harabi, Tifenn Hirtzlin, Clement Türck, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Jean-Michel Portal, Marc Bocquet, Damien Querlioz
2021 J jnl
An Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits.
IEEE Des. Test
Jérémy Belot, Abdelkarim Cherkaoui, Raphaël Laurent, Laurent Fesquet
2021 — conf
An Energy Efficient Multi-Rail Architecture for Stochastic Computing: A Bayesian Sensor Fusion Case Study.
ICECS
Jérémy Belot, Abdelkarim Cherkaoui, Raphaël Laurent, Laurent Fesquet
2019 J jnl
Design of Stochastic Machines Dedicated to Approximate Bayesian Inferences.
IEEE Trans. Emerg. Top. Comput.
Marvin Faix, Raphaël Laurent, Pierre Bessière, Emmanuel Mazer, Jacques Droulez
2017 — conf
A Bayesian Stochastic Machine for Sound Source Localization.
ICRC
Raphael Frisch, Raphaël Laurent, Marvin Faix, Laurent Girin, Laurent Fesquet, Augustin Lux, Jacques Droulez, Pierre Bessière, Emmanuel Mazer
2017 J jnl
Cognitive Computation: An Exact Bayesian Inference Stochastic Machine.
Int. J. Softw. Sci. Comput. Intell.
Marvin Faix, Emmanuel Mazer, Raphaël Laurent, Mohamad Othman Abdallah, Ronan Le Hy, Jorge Lobo
2016 — conf
Autonomous robot controller using bitwise gibbs sampling.
ICCI*CC
Rémi Canillas, Raphaël Laurent, Marvin Faix, Dominique Vaufreydaz, Emmanuel Mazer
2016 — conf
Bayesian sensor fusion with fast and low power stochastic circuits.
ICRC
Alexandre Coninx, Pierre Bessière, Emmanuel Mazer, Jacques Droulez, Raphaël Laurent, M. Awais Aslam, Jorge Lobo
2015 — conf
Cognitive computation: A Bayesian machine case study.
ICCI*CC
Marvin Faix, Emmanuel Mazer, Raphaël Laurent, Mohamad Othman Abdallah, Ronan Le Hy, Jorge Lobo
2014 — —
COSMO : un modèle bayésien des interactions sensori-motrices dans la perception de la parole. (COSMO: a Bayesian model of sensorimotor interactions in speech perception).
Raphaël Laurent
2013 A conf
A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables.
INTERSPEECH
Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard
2012 — conf
COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes (COSMO, a Bayesian model of speech communication, applied to syllable perception) [in French].
JEP-TALN-RECITAL 2012
Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard