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 Speech Recognition in Adverse Conditions, 288-311, 2013 | 80 | 2013 |
A memristor-based Bayesian machine KE Harabi, T Hirtzlin, C Turck, E Vianello, R Laurent, J Droulez, ... Nature Electronics 6 (1), 52-63, 2023 | 44 | 2023 |
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 | 34 | 2017 |
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 | 32 | 2016 |
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 | 26 | 2015 |
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 | 20 | 2016 |
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 | 10 | 2017 |
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 | 10 | 2017 |
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 | 8 | 2016 |
Stochastic Bayesian computation for autonomous robot sensorimotor system M Faix, J Lobo, R Laurent, D Vaufreydaz, E Mazer Workshop on Unconventional Computing for Bayesian Inference (UCBI) at IEEE …, 2015 | 8 | 2015 |
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 | 7 | 2013 |
COSMO: un modèle bayésien des interactions sensori-motrices dans la perception de la parole R Laurent Université de Grenoble, 2014 | 5 | 2014 |
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 | 4 | 2016 |
An Area-and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits J Belot, A Cherkaoui, R Laurent, L Fesquet IEEE Design & Test 38 (6), 69-77, 2021 | 3 | 2021 |
Bayesian In-Memory Computing with Resistive Memories C Turck, D Bonnet, KE Harabi, T Dalgaty, T Ballet, T Hirtzlin, A Pontlevy, ... 2023 International Electron Devices Meeting (IEDM), 1-4, 2023 | 2 | 2023 |
Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors C Turck, KE Harabi, T Hirtzlin, E Vianello, R Laurent, J Droulez, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-2, 2023 | 2 | 2023 |
Exploiting the stochasticity of memristive devices for computing A Mizrahi, R Laurent, J Grollier, D Querlioz Memristive Devices for Brain-Inspired Computing, 275-309, 2020 | 2 | 2020 |
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 |
COSMO: un modèle bayésien des fondements sensorimoteurs de la perception et de la production de la parole JL Schwartz, ML Barnaud, P Bessière, MA Georges, R Laurent, ... JEP 2022-34e Journées d’Études sur la Parole, 2022 | 1 | 2022 |
Cognitive computation: An exact Bayesian inference stochastic machine M Faix, E Mazer, R Laurent, MO Abdallah, R Le Hy, J Lobo Robotic Systems: Concepts, Methodologies, Tools, and Applications, 906-929, 2020 | 1 | 2020 |