Raphaël Laurent

According to our database, Raphaël Laurent authored at least 13 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors.

Clement Türck, Kamel-Eddine Harabi, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2021

An Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits.

Jérémy Belot, Abdelkarim Cherkaoui, Raphaël Laurent, Laurent Fesquet

IEEE Des. Test, 2021

A Memristor-Based Bayesian Machine.

Kamel-Eddine Harabi, Tifenn Hirtzlin, Clement Türck, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Jean-Michel Portal, Marc Bocquet, Damien Querlioz

CoRR, 2021

An Energy Efficient Multi-Rail Architecture for Stochastic Computing: A Bayesian Sensor Fusion Case Study.

Jérémy Belot, Abdelkarim Cherkaoui, Raphaël Laurent, Laurent Fesquet

Proceedings of the 28th IEEE International Conference on Electronics, 2021

2019

Design of Stochastic Machines Dedicated to Approximate Bayesian Inferences.

Marvin Faix, Raphaël Laurent, Pierre Bessière, Emmanuel Mazer, Jacques Droulez

IEEE Trans. Emerg. Top. Comput., 2019

2017

Cognitive Computation: An Exact Bayesian Inference Stochastic Machine.

Marvin Faix, Emmanuel Mazer, Raphaël Laurent, Mohamad Othman Abdallah, Ronan Le Hy, Jorge Lobo

Int. J. Softw. Sci. Comput. Intell., 2017

A Bayesian Stochastic Machine for Sound Source Localization.

Raphael Frisch, Raphaël Laurent, Marvin Faix, Laurent Girin, Laurent Fesquet, Augustin Lux, Jacques Droulez, Pierre Bessière, Emmanuel Mazer

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

Bayesian sensor fusion with fast and low power stochastic circuits.

Alexandre Coninx, Pierre Bessière, Emmanuel Mazer, Jacques Droulez, Raphaël Laurent, M. Awais Aslam, Jorge Lobo

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

Autonomous robot controller using bitwise gibbs sampling.

Rémi Canillas, Raphaël Laurent, Marvin Faix, Dominique Vaufreydaz, Emmanuel Mazer

Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015

Cognitive computation: A Bayesian machine case study.

Marvin Faix, Emmanuel Mazer, Raphaël Laurent, Mohamad Othman Abdallah, Ronan Le Hy, Jorge Lobo

Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

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

PhD thesis, 2014

2013

A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables.

Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard

Proceedings of the INTERSPEECH 2013, 2013

2012

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].

Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard

Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, 2012