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 (JEP-TALN-RECITAL 2012, 2012)

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 (INTERSPEECH, 2013)

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 (2014)

Cognitive computation: A Bayesian machine case study. - Marvin Faix; Emmanuel Mazer; Raphaël Laurent; Mohamad Othman Abdallah; Ronan Le Hy; Jorge Lobo 002 (ICCI*CC, 2015)

Autonomous robot controller using bitwise gibbs sampling. - Rémi Canillas; Raphaël Laurent; Marvin Faix; Dominique Vaufreydaz; Emmanuel Mazer (ICCI*CC, 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 002 (ICRC, 2016)

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 (ICRC, 2017)

Cognitive Computation: An Exact Bayesian Inference Stochastic Machine. - Marvin Faix; Emmanuel Mazer; Raphaël Laurent; Mohamad Othman Abdallah; Ronan Le Hy; Jorge Lobo 002 (Int. J. Softw. Sci. Comput. Intell., 2017)

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)

An Energy Efficient Multi-Rail Architecture for Stochastic Computing: A Bayesian Sensor Fusion Case Study. - Jérémy Belot; Abdelkarim Cherkaoui; Raphaël Laurent; Laurent Fesquet (ICECS, 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 Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits. - Jérémy Belot; Abdelkarim Cherkaoui; Raphaël Laurent; Laurent Fesquet (IEEE Des. Test, 2021)

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 (DATE, 2023)

The Logarithmic Memristor-Based Bayesian Machine. - 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 (CoRR, 2024)