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ORCIDPierre Bessière
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2020 – today
- 2024
[i9]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
- [c42]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
- [i8]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
- [j21]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) - 2018
- [c41]Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz:
COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning. INTERSPEECH 2018: 3786-3790 - 2017
- [j20]David Colliaux, Pierre Bessière, Jacques Droulez:
Cell signaling as a probabilistic computer. Int. J. Approx. Reason. 83: 385-399 (2017) - [j19]Alexandre Coninx, Pierre Bessière, Jacques Droulez:
Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. Int. J. Approx. Reason. 83: 400-412 (2017) - [j18]Joseph S. Friedman, Jacques Droulez, Pierre Bessière, Jorge Lobo, Damien Querlioz:
Approximation enhancement for stochastic Bayesian inference. Int. J. Approx. Reason. 85: 139-158 (2017) - [c40]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
- [j17]Joseph S. Friedman, Laurie E. Calvet, Pierre Bessière, Jacques Droulez, Damien Querlioz:
Bayesian Inference With Muller C-Elements. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(6): 895-904 (2016) - [j16]Gabriel Synnaeve, Pierre Bessière:
Multiscale Bayesian Modeling for RTS Games: An Application to StarCraft AI. IEEE Trans. Comput. Intell. AI Games 8(4): 338-350 (2016) - [c39]Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessière:
Sensorimotor learning in a Bayesian computational model of speech communication. ICDL-EPIROB 2016: 27-32 - [c38]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 - [c37]Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz:
Assessing Idiosyncrasies in a Bayesian Model of Speech Communication. INTERSPEECH 2016: 2080-2084 - [c36]Laurie E. Calvet, Joseph S. Friedman, Damien Querlioz, Pierre Bessière, Jacques Droulez:
Sleep stage classification with stochastic Bayesian inference. NANOARCH 2016: 117-122 - [i7]Alexandre Coninx, Pierre Bessière, Jacques Droulez:
Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. CoRR abs/1609.04337 (2016) - 2015
- [j15]Clément Moulin-Frier, Julien Diard, Jean-Luc Schwartz, Pierre Bessière:
COSMO ("Communicating about Objects using Sensory-Motor Operations"): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems. J. Phonetics 53: 5-41 (2015) - [c35]David Colliaux, Lia Giraud, Claude Yéprémian, Pierre Bessière, Jacques Droulez:
Probing models of minimal swimming vehicules in vivo with microalgae phototaxis. ECAL 2015: 447 - [c34]Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz:
COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception. ICDL-EPIROB 2015: 248-249 - [i6]Jacques Droulez, David Colliaux, Audrey Houillon, Pierre Bessière:
Toward Biochemical Probabilistic Computation. CoRR abs/1511.02623 (2015) - 2014
- [c33]David Colliaux, Pierre Bessière, Jacques Droulez:
Robust sequence storage in bistable oscillators. NANOARCH 2014: 90-91 - 2013
- [j14]Remis Balaniuk, Pierre Bessière, Emmanuel Mazer, Paulo Roberto Cobbe:
Corruption risk analysis using semi-supervised naïve Bayes classifiers. Int. J. Reason. based Intell. Syst. 5(4): 237-245 (2013) - [j13]Julien Diard, Pierre Bessière, Alain Berthoz:
Spatial Memory of Paths Using Circular Probability Distributions: Theoretical Properties, Navigation Strategies and Orientation Cue Combination. Spatial Cogn. Comput. 13(3): 219-257 (2013) - [j12]João Filipe Ferreira, Jorge Lobo, Pierre Bessière, Miguel Castelo-Branco, Jorge Dias:
A Bayesian Framework for Active Artificial Perception. IEEE Trans. Cybern. 43(2): 699-711 (2013) - [c32]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
- [c31]Gabriel Synnaeve, Pierre Bessière:
Special tactics: A Bayesian approach to tactical decision-making. CIG 2012: 409-416 - [c30]Remis Balaniuk, Pierre Bessière, Emmanuel Mazer, Paulo Roberto Cobbe:
Risk based Government Audit Planning using Naïve Bayes Classifiers. KES 2012: 1313-1323 - [c29]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 - [i5]Gabriel Synnaeve, Pierre Bessière:
A Dataset for StarCraft AI & an Example of Armies Clustering. CoRR abs/1211.4552 (2012) - 2011
- [c28]Gabriel Synnaeve, Pierre Bessière:
A Bayesian Model for Plan Recognition in RTS Games Applied to StarCraft. AIIDE 2011 - [c27]Gabriel Synnaeve, Pierre Bessière:
A Bayesian model for RTS units control applied to StarCraft. CIG 2011: 190-196 - [c26]Gabriel Synnaeve, Pierre Bessière:
A Bayesian model for opening prediction in RTS games with application to StarCraft. CIG 2011: 281-288 - [i4]Juan Manuel Ahuactzin, Pierre Bessière, Emmanuel Mazer:
The Ariadne's Clew Algorithm. CoRR abs/1105.5440 (2011) - [i3]Gabriel Synnaeve, Pierre Bessière:
A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft. CoRR abs/1111.3735 (2011) - 2010
- [j11]Julien Diard, Estelle Gilet, Éva Simonin, Pierre Bessière:
Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment. Connect. Sci. 22(4): 291-312 (2010) - [i2]Gabriel Synnaeve, Pierre Bessière:
Bayesian Modeling of a Human MMORPG Player. CoRR abs/1011.5480 (2010)
2000 – 2009
- 2009
- [j10]Francis Colas, Fabien Flacher, Thomas Tanner, Pierre Bessière, Benoît Girard:
Bayesian models of eye movement selection with retinotopic maps. Biol. Cybern. 100(3): 203-214 (2009) - 2008
- [p11]Pierre Bessière:
Probability as an Alternative to Logic for Rational Sensory-Motor Reasoning and Decision. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 3-18 - [p10]Pierre Bessière, Olivier Lebeltel:
Basic Concepts of Bayesian Programming. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 19-48 - [p9]Cédric Pradalier, Pierre Bessière:
The CyCab : Bayesian Navigation on Sensory-Motor Trajectories. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 51-75 - [p8]M. K. Tay, Kamel Mekhnacha, Manuel Yguel, Christophe Coué, Cédric Pradalier, Christian Laugier, Thierry Fraichard, Pierre Bessière:
The Bayesian Occupation Filter. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 77-98 - [p7]Julien Diard, Pierre Bessière:
Bayesian Maps: Probabilistic and Hierarchical Models for Mobile Robot Navigation. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 153-175 - [p6]Carla Maria Chagas E. Cavalcante Koike, Pierre Bessière, Emmanuel Mazer:
Bayesian Approach to Action Selection and Attention Focusing. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 177-201 - [p5]Kamel Mekhnacha, Pierre Bessière:
BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 205-231 - [p4]Ronan Le Hy, Pierre Bessière:
Playing to Train Your Video Game Avatar. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 263-276 - [p3]Francis Colas, Pierre Bessière, Jacques Droulez, Mark Wexler:
Bayesian Modelling of Perception of Structure from Motion. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 301-328 - [p2]Jihène E. Serkhane, Jean-Luc Schwartz, Pierre Bessière:
Building a Talking Baby Robot: A Contribution to the Study of Speech Acquisition and Evolution. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems 2008: 329-357 - [e1]Pierre Bessière, Christian Laugier, Roland Siegwart:
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems. Springer Tracts in Advanced Robotics 46, 2008, ISBN 978-3-540-79006-8 [contents] - 2007
- [j9]Francis Colas, Jacques Droulez, Mark Wexler, Pierre Bessière:
A unified probabilistic model of the perception of three-dimensional structure from optic flow. Biol. Cybern. 97(5-6): 461-477 (2007) - [j8]Kamel Mekhnacha, Juan Manuel Ahuactzin, Pierre Bessière, Emmanuel Mazer, Linda Smail:
Exact and approximate inference in ProBT. Rev. d'Intelligence Artif. 21(3): 295-332 (2007) - 2006
- [j7]Christophe Coué, Cédric Pradalier, Christian Laugier, Thierry Fraichard, Pierre Bessière:
Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application. Int. J. Robotics Res. 25(1): 19-30 (2006) - [i1]David Bellot, Pierre Bessière:
Approximate Discrete Probability Distribution Representation using a Multi-Resolution Binary Tree. CoRR abs/cs/0605055 (2006) - 2005
- [j6]Cédric Pradalier, Jorge Hermosillo Valadez, Carla Koike, Christophe Braillon, Pierre Bessière, Christian Laugier:
The CyCab: a car-like robot navigating autonomously and safely among pedestrians. Robotics Auton. Syst. 50(1): 51-67 (2005) - [c25]Pierre Dangauthier, Pierre Bessière, Anne Spalanzani:
Auto-supervised learning in the Bayesian Programming Framework. ICRA 2005: 3066-3071 - [c24]Éva Simonin, Julien Diard, Pierre Bessière:
Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors. IROS 2005: 1307-1312 - [c23]Julien Diard, Pierre Bessière, Emmanuel Mazer:
Merging probabilistic models of navigation: the Bayesian map and the superposition operator. IROS 2005: 1326-1331 - 2004
- [j5]Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer:
Bayesian Robot Programming. Auton. Robots 16(1): 49-79 (2004) - [j4]Ronan Le Hy, Anthony Arrigoni, Pierre Bessière, Olivier Lebeltel:
Teaching Bayesian behaviours to video game characters. Robotics Auton. Syst. 47(2-3): 177-185 (2004) - [j3]Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer:
Programmation bayésienne des robots. Rev. d'Intelligence Artif. 18(2): 261-298 (2004) - [c22]Julien Diard, Pierre Bessière, Emmanuel Mazer:
A Theoretical Comparison of Probabilistic and Biomimetic Models of Mobile Robot Navigation. ICRA 2004: 933-938 - [c21]Cédric Pradalier, Jorge Hermosillo Valadez, Carla Koike, Christophe Braillon, Pierre Bessière, Christian Laugier:
An Autonomous Car-like Robot Navigating Safely among Pedestrians. ICRA 2004: 1945-1950 - [c20]Cédric Pradalier, Pierre Bessière:
Perceptual Navigation around a Sensori-motor Trajectory. ICRA 2004: 3831-3836 - [c19]Julien Diard, Pierre Bessière, Emmanuel Mazer:
Hierarchies of Probabilistic Models of Navigation: the Bayesian Map and the Abstraction Operator. ICRA 2004: 3837-3842 - [c18]Cédric Pradalier, Pierre Bessière, Christian Laugier:
Driving on a Known Sensori-Motor Trajectory with a Car-like Robot. ISER 2004: 609-618 - 2003
- [c17]David Bellot, Roland Siegwart, Pierre Bessière, Adriana Tapus, Christophe Coué, Julien Diard:
Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples. Embodied Artificial Intelligence 2003: 186-201 - [c16]Christophe Coué, Thierry Fraichard, Pierre Bessière, Emmanuel Mazer:
Using bayesian programming for multi-sensor multi-target tracking in automotive applications. ICRA 2003: 2104-2109 - [c15]David Bellot, Pierre Bessière:
Approximate Discrete Probability Distribution Representation Using a Multi-Resolution Binary Tree. ICTAI 2003: 498-503 - [c14]Carla Koike, Cédric Pradalier, Pierre Bessière, Emmanuel Mazer:
Proscriptive Bayesian programming application for collision avoidance. IROS 2003: 394-399 - [c13]Cédric Pradalier, Francis Colas, Pierre Bessière:
Expressing Bayesian fusion as a product of distributions: applications in robotics. IROS 2003: 1851-1856 - 2002
- [c12]Christophe Coué, Thierry Fraichard, Pierre Bessière, Emmanuel Mazer:
Multi-sensor data fusion using Bayesian programming : an automotive application. IROS 2002: 141-146 - 2001
- [j2]Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessière:
The design and implementation of a Bayesian CAD modeler for robotic applications. Adv. Robotics 15(1): 45-69 (2001) - [c11]Christophe Coué, Pierre Bessière:
Chasing an elusive target with a mobile robot. IROS 2001: 1370-1375 - 2000
- [b1]Pierre Bessière:
Vers une THéOrie probabiliste des SystèMES sensori-moteurs. Joseph Fourier University, Grenoble, France, 2000 - [c10]Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessière:
A robotic CAD system using a Bayesian framework. IROS 2000: 1597-1604
1990 – 1999
- 1998
- [j1]Emmanuel Mazer, Juan Manuel Ahuactzin, Pierre Bessière:
The Ariadne's Clew Algorithm. J. Artif. Intell. Res. 9: 295-316 (1998) - 1997
- [c9]Eric Dedieu, Olivier Lebeltel, Pierre Bessière:
Wings Were Not Designed to Let Animals Fly. Artificial Evolution 1997: 235-250 - 1996
- [p1]El-Ghazali Talbi, Pierre Bessière:
A Parallel Genetic Algorithm Applied to the Mapping Problem. Applications on Advanced Architecture Computers 1996: 35-43 - 1995
- [c8]Remis Balaniuk, Emmanuel Mazer, Pierre Bessière:
Faust Direct and Inverse Model Acquisition by Function Decomposition. ICRA 1995: 1535-1540 - 1993
- [c7]Pierre Bessière, Juan Manuel Ahuactzin, El-Ghazali Talbi, Emmanuel Mazer:
The "Ariadne's clew" algorithm: global planning with local methods. IROS 1993: 1373-1380 - [c6]Emmanuel Mazer, Juan Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessière, T. Chatroux:
Parallel Motion Planning with the Ariadne's Clew Algorithm. ISER 1993: 62-74 - 1992
- [c5]El-Ghazali Talbi, Pierre Bessière, Juan Manuel Ahuactzin, Emmanuel Mazer:
Parallel Robot Motion Planning in a Dynamic Environment. CONPAR 1992: 835-836 - [c4]Juan Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessière, Emmanuel Mazer:
Using Genetic Algorithms for Robot Motion Planning. ECAI 1992: 671-675 - 1991
- [c3]Juan Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessière, Emmanuel Mazer:
Using Genetic Algorithms for Robot Motion Planning. Geometric Reasoning for Perception and Action 1991: 84-93 - [c2]El-Ghazali Talbi, Pierre Bessière:
A parallel genetic algorithm for the graph partitioning problem. ICS 1991: 312-320
1980 – 1989
- 1985
- [c1]Michael P. Georgeff, Amy L. Lansky, Pierre Bessière:
A Procedural Logic. IJCAI 1985: 516-523
Coauthor Index
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last updated on 2024-07-09 22:04 CEST by the dblp team
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