Raphaël Laurent
Raphaël Laurent
R&D engineer at ProbaYes
Verified email at probayes.com
Title
Cited by
Cited by
Year
Adverse conditions improve distinguishability of auditory, motor, and perceptuo-motor theories of speech perception: An exploratory Bayesian modelling study
C Moulin-Frier, R Laurent, P Bessière, JL Schwartz, J Diard
Language and Cognitive Processes 27 (7-8), 1240-1263, 2012
692012
Bayesian Sensor Fusion with Fast and Low Power Stochastic Circuits
A Coninx, R Laurent, A Aslam, P Bessière, J Lobo, E Mazer, J Droulez
IEEE International Conference on rebooting Computing, 2016
192016
Cognitive computation: a bayesian machine case study
M Faix, E Mazer, R Laurent, MO Abdallah, R Le Hy, J Lobo
2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive …, 2015
192015
The complementary roles of auditory and motor information evaluated in a Bayesian perceptuo-motor model of speech perception.
R Laurent, ML Barnaud, JL Schwartz, P Bessière, J Diard
Psychological review 124 (5), 572, 2017
152017
Design of stochastic machines dedicated to approximate Bayesian inferences
M Faix, R Laurent, P Bessière, E Mazer, J Droulez
IEEE Transactions on Emerging Topics in Computing 7 (1), 60-66, 2016
102016
Stochastic Bayesian computation for autonomous robot sensorimotor system
M Faix, J Lobo, R Laurent, D Vaufreydaz, E Mazer
82015
Evidences of stochastic Bayesian machines robustness against SEUs and SETs
A Coelho, M Solinas, R Laurent, J Fraire, E Mazer, N Zergainoh, ...
2016 16th European Conference on Radiation and Its Effects on Components and …, 2016
62016
Autonomous robot controller using bitwise gibbs sampling
R Canillas, R Laurent, M Faix, D Vaufreydaz, E Mazer
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive …, 2016
62016
A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables
R Laurent, JL Schwartz, P Bessiere, J Diard
14th Annual Conference of the International Speech Communication Association …, 2013
62013
On the robustness of stochastic bayesian machines
A Coelho, R Laurent, M Solinas, J Fraire, E Mazer, NE Zergainoh, ...
IEEE Transactions on Nuclear Science 64 (8), 2276-2283, 2017
42017
COSMO: un modèle bayésien des interactions sensori-motrices dans la perception de la parole
R Laurent
32014
A Bayesian stochastic machine for sound source localization
R Frisch, R Laurent, M Faix, L Girin, L Fesquet, A Lux, J Droulez, ...
2017 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2017
22017
Integrate, yes, but what and how? A computational approach of sensorimotor fusion in speech
R Laurent, C Moulin-Frier, P Bessière, JL Schwartz, J Diard
Behavioral and Brain Sciences 36 (4), 364, 2013
2*2013
The semantics of Subroutines and Iteration in the Bayesian Programming language ProBT
R Laurent, K Mekhnacha, E Mazer, P Bessière
Workshop on Probabilistic Programming Languages Semantics at the 44th ACM …, 2017
12017
Hardened Golo: Donnez de la confiance en votre code Golo
R Laurent
12016
COSMO: a Bayesian model of sensori-motor interactions in speech perception
R Laurent
12014
Modular stochastic machine and related method
P Bessiere, J Droulez, E Mazer, R Laurent, J Grollier, M Faix, A Coninx, ...
US Patent App. 16/340,636, 2020
2020
Cognitive Computation: An Exact Bayesian Inference Stochastic Machine
M Faix, E Mazer, R Laurent, MO Abdallah, R Le Hy, J Lobo
International Journal of Software Science and Computational Intelligence …, 2017
2017
Machine stochastique modulaire et procédé associé
P Bessière, J Droulez, E Mazer, R Laurent, D Querlioz, J Grollier, M Faix, ...
2016
COSMO, un modèle bayésien de la communication parlée: application à la perception des syllabes
R Laurent, JL Schwartz, P Bessière, J Diard
2012
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Articles 1–20