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ORCIDRaphaël Laurent
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2020 – today
- 2024
[i2]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:
The Logarithmic Memristor-Based Bayesian Machine. CoRR abs/2406.03492 (2024)- 2023
- [c8]Clement Türck, Kamel-Eddine Harabi, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors. DATE 2023: 1-2 - 2021
- [j3]Jérémy Belot
, Abdelkarim Cherkaoui, Raphaël Laurent, Laurent Fesquet:
An Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits. IEEE Des. Test 38(6): 69-77 (2021) - [c7]Jérémy Belot, Abdelkarim Cherkaoui, Raphaël Laurent, Laurent Fesquet:
An Energy Efficient Multi-Rail Architecture for Stochastic Computing: A Bayesian Sensor Fusion Case Study. ICECS 2021: 1-5 - [i1]Kamel-Eddine Harabi, Tifenn Hirtzlin, Clement Türck, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Jean-Michel Portal, Marc Bocquet, Damien Querlioz:
A Memristor-Based Bayesian Machine. CoRR abs/2112.10547 (2021)
2010 – 2019
- 2019
- [j2]Marvin Faix, Raphaël Laurent, Pierre Bessière, Emmanuel Mazer, Jacques Droulez:
Design of Stochastic Machines Dedicated to Approximate Bayesian Inferences. IEEE Trans. Emerg. Top. Comput. 7(1): 60-66 (2019) - 2017
- [j1]Marvin Faix, Emmanuel Mazer, Raphaël Laurent, Mohamad Othman Abdallah, Ronan Le Hy, Jorge Lobo:
Cognitive Computation: An Exact Bayesian Inference Stochastic Machine. Int. J. Softw. Sci. Comput. Intell. 9(3): 37-58 (2017) - [c6]Raphael Frisch, Raphaël Laurent, Marvin Faix, Laurent Girin, Laurent Fesquet, Augustin Lux, Jacques Droulez, Pierre Bessière, Emmanuel Mazer:
A Bayesian Stochastic Machine for Sound Source Localization. ICRC 2017: 1-8 - 2016
- [c5]Rémi Canillas, Raphaël Laurent, Marvin Faix, Dominique Vaufreydaz, Emmanuel Mazer:
Autonomous robot controller using bitwise gibbs sampling. ICCI*CC 2016: 72-76 - [c4]Alexandre Coninx, Pierre Bessière, Emmanuel Mazer, Jacques Droulez, Raphaël Laurent, M. Awais Aslam, Jorge Lobo:
Bayesian sensor fusion with fast and low power stochastic circuits. ICRC 2016: 1-8 - 2015
- [c3]Marvin Faix, Emmanuel Mazer, Raphaël Laurent, Mohamad Othman Abdallah, Ronan Le Hy, Jorge Lobo:
Cognitive computation: A Bayesian machine case study. ICCI*CC 2015: 67-75 - 2014
- [b1]Raphaël Laurent:
COSMO : un modèle bayésien des interactions sensori-motrices dans la perception de la parole. (COSMO: a Bayesian model of sensorimotor interactions in speech perception). University of Grenoble, France, 2014 - 2013
- [c2]Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard:
A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables. INTERSPEECH 2013: 2797-2801 - 2012
- [c1]Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard:
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 2012: 305-312
Coauthor Index
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