Home » Teams » Amac » Pierre Bessiere
  • Pierre Bessiere

  • Directeur de Recherche CNRS
  • Équipe: Amac
  • Bureau: 305
  • Email: pierre.bessiere@sorbonne-universite.fr
  • Telephone:+33 1 44 27 51 54
  • Addresse: ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris
  • Site web: http://Bayesian-Programming.org

Publications

  • Marie-Lou Barnaud, Jean-Luc Schwartz, Pierre Bessière, Julien Diard (2019). Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication. PLoS ONE Vol 14 Pages e0210302.
  • Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz (2018). COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning. Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association Pages 3786-3790.
  • Marie-Lou Barnaud, Pierre Bessière, Julien Diard, Jean-Luc Schwartz (2017). Reanalyzing neurocognitive data on the role of the motor system in speech perception within COSMO, a Bayesian perceptuo-motor model of speech communication. Brain and Language Vol 187 Pages 19-32.
  • Raphael Frisch, Raphaël Laurent, Marvin Faix, Laurent Girin, Laurent Fesquet, Augustin Lux, Jacques Droulez, Pierre Bessière, Emmanuel Mazer (2017). A Bayesian stochastic machine for sound source localization. ICRC 2017 - IEEE International Conference on Rebooting Computing Pages 1-8.
  • Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz (2017). Perceptuo-motor speech units in the brain with COSMO, a Bayesian model of communication. ISSP 2017 - 11th International Seminar on Speech Production
  • Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessìère (2017). Assessing phonological learning in COSMO, a Bayesian model of speech communication. 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)
  • Raphaël Laurent, Marie-Lou Barnaud, Jean-Luc Schwartz, Pierre Bessière, Julien Diard (2017). The complementary roles of auditory and motor information evaluated in a Bayesian perceptuo-motor model of speech perception. Psychological Review Vol 124 Pages 572-602.
  • Joseph Friedman, Jacques Droulez, Pierre Bessière, Jorge Lobo, Damien Querlioz (2017). Approximation Enhancement for Stochastic Bayesian Inference. International Journal of Approximate Reasoning
  • Alexandre Coninx, Pierre Bessière, Emmanuel Mazer, Jacques Droulez, Raphaël Laurent, Awais Aslam, Jorge Lobo (2016). Bayesian Sensor Fusion with Fast and Low Power Stochastic Circuits. IEEE International Conference on rebooting Computing
  • Pierre Bessière, Jacques Droulez, Emmanuel Mazer, Raphael Laurent, Damien Querlioz, Julie Grollier, Marvin Faix, Alexandre Coninx, David Colliaux (2016). Machine stochastique modulaire et procédé associé. No Array
  • Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessière (2016). Sensorimotor learning in a Bayesian computational model of speech communication. The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB 2016)
  • Daniele Pinna, Julie Grollier, Vincent Cros, Damien Querlioz, Pierre Bessière, Jacques Droulez (2016). Dispositif de génération d’un signal électrique aléatoire et architecture associée. No Array
  • Pierre Bessière, Julien Diard, Francis Colas (2016). Modèles probabilistes formels pour problèmes cognitifs usuels. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo) Vol 65 Pages 111-141.
  • Alexandre Coninx, Pierre Bessière, Jacques Droulez (2016). Quick and energy-efficient bayesian computing of binocular disparity using stochastic digital signals.
  • Jean-Luc Schwartz, Marie-Lou Barnaud, Pierre Bessière, Julien Diard, Clément Moulin-Frier (2016). Phonology in the mirror. Physics of Life Reviews Vol 16 Pages 93-95.
  • Alexandre Coninx, Pierre Bessière, Jacques Droulez (2016). Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. International Journal of Approximate Reasoning
  • Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz (2016). Assessing Idiosyncrasies in a Bayesian Model of Speech Communication. Interspeech 2016 - 17th Annual Conference of the International Speech Communication Association
  • David Colliaux, Pierre Bessière, Jacques Droulez (2016). Cell signaling as a probabilistic computer. International Journal of Approximate Reasoning
  • Marvin Faix, Raphä Laurent, Pierre Bessière, Emmanuel Mazer, Jacques Droulez (2016). Design of Stochastic Machines Dedicated to Approximate Bayesian inferences. IEEE Transactions on Emerging Topics in Computing
  • Joseph Friedman, Laurie Calvet, Pierre Bessière, Jacques Droulez, Damien Querlioz (2016). Bayesian Inference With Muller C-Elements. IEEE Transactions on Circuits and Systems Vol 63 Pages 895 - 904.
  • Clément Moulin-Frier, Julien Diard, Jean-Luc Schwartz, Pierre Bessière (2015). COSMO (“Communicating about Objects using Sensory–Motor Operations”): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems. Journal of Phonetics Vol 53 Pages 5–41.
  • Jacques Droulez, Pierre Bessière (2015). Microprocesseur parallèle stochastique. No Array
  • Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz (2015). Modeling the concurrent development of speech perception and production in a Bayesian framework. 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob)
  • Marie-Lou Barnaud, Julien Diard, Pierre Bessiere, Jean-Luc Schwartz (2015). COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception. 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob)
  • David Colliaux, Lia Giraud, Claude Yéprémian, Pierre Bessière, Jacques Droulez (2015). Probing models of minimal swimming vehicules in vivo with microalgae phototaxis.. European Conference on Artificial Life 2015
  • Marie-Lou Barnaud, Raphaël Laurent, Pierre Bessière, Julien Diard, Jean-Luc Schwartz (2015). Modeling concurrent development of speech perception and production in a Bayesian framework. 2nd Workshop on Infant Language Development (WILD 2015)
  • Jacques Droulez, Pierre Bessière (2015). Le temps dans l'inférence probabiliste. Anticipation et Prédiction
  • Raphaël Rose-Andrieux, Jacques Droulez, Pierre Bessière (2015). Bipedal dynamic walk : Velocity Control Point and Probabilistic Model. IEEE/RSJ International Conference on Intelligent Robots and Systems
  • Jacques Droulez, David Colliaux, Audrey Houillon, Pierre Bessière (2014). Toward Biochemical Probabilistic Computation.
  • David Colliaux, Pierre Bessière, Jacques Droulez (2014). Robust sequence storage in bistable oscillators. Nanoarch Pages 2 p..
  • Francis Colas, Pierre Bessière, Benoît Girard (2011). Maximum entropy perception-action space: a Bayesian model of eye movement selection. 30th Conf. on Bayesian Methods and Maximum Entropy in Science and Engineering (MaxEnt2010)