Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples. - David Bellot; Roland Siegwart; Pierre Bessière; Adriana Tapus; Christophe Coué; Julien Diard (Embodied Artificial Intelligence, 2003)

La carte bayésienne : un modèle probabiliste hiérarchique pour la navigation en robotique mobile. (The Bayesian map - A hierarchical probabilistic model for mobile robot navigation). - Julien Diard (2003)

A Theoretical Comparison of Probabilistic and Biomimetic Models of Mobile Robot Navigation. - Julien Diard; Pierre Bessière; Emmanuel Mazer (ICRA, 2004)

Hierarchies of Probabilistic Models of Navigation: the Bayesian Map and the Abstraction Operator. - Julien Diard; Pierre Bessière; Emmanuel Mazer (ICRA, 2004)

Bayesian Robot Programming. - Olivier Lebeltel; Pierre Bessière; Julien Diard; Emmanuel Mazer (Auton. Robots, 2004)

Programmation bayésienne des robots. - Olivier Lebeltel; Pierre Bessière; Julien Diard; Emmanuel Mazer (Rev. d'Intelligence Artif., 2004)

Merging probabilistic models of navigation: the Bayesian map and the superposition operator. - Julien Diard; Pierre Bessière; Emmanuel Mazer (IROS, 2005)

Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors. - Éva Simonin; Julien Diard; Pierre Bessière (IROS, 2005)

BBPRM: A behavior-based probabilistic roadmap method. - Éva Simonin; Julien Diard (SMC, 2008)

Bayesian Maps: Probabilistic and Hierarchical Models for Mobile Robot Navigation. - Julien Diard; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment. - Julien Diard; Estelle Gilet; Éva Simonin; Pierre Bessière (Connect. Sci., 2010)

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]. - Raphaël Laurent; Jean-Luc Schwartz; Pierre Bessière; Julien Diard (JEP-TALN-RECITAL 2012, 2012)

A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables. - Raphaël Laurent; Jean-Luc Schwartz; Pierre Bessière; Julien Diard (INTERSPEECH, 2013)

Spatial Memory of Paths Using Circular Probability Distributions: Theoretical Properties, Navigation Strategies and Orientation Cue Combination. - Julien Diard; Pierre Bessière; Alain Berthoz (Spatial Cogn. Comput., 2013)

Writer recognition in cursive eye writing: A Bayesian model. - Myriam Chanceaux; Vincent Rynik; Jean Lorenceau; Julien Diard (CogSci, 2014)

COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception. - Marie-Lou Barnaud; Julien Diard; Pierre Bessière; Jean-Luc Schwartz (ICDL-EPIROB, 2015)

Optimal speech motor control and token-to-token variability: a Bayesian modeling approach. - Jean-François Patri; Julien Diard; Pascal Perrier (Biol. Cybern., 2015)

COSMO ("Communicating about Objects using Sensory-Motor Operations"): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems. - Clément Moulin-Frier; Julien Diard; Jean-Luc Schwartz; Pierre Bessière (J. Phonetics, 2015)

Sensorimotor learning in a Bayesian computational model of speech communication. - Marie-Lou Barnaud; Jean-Luc Schwartz; Julien Diard; Pierre Bessière (ICDL-EPIROB, 2016)

Assessing Idiosyncrasies in a Bayesian Model of Speech Communication. - Marie-Lou Barnaud; Julien Diard; Pierre Bessière; Jean-Luc Schwartz (INTERSPEECH, 2016)

Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints. - Jean-François Patri; Pascal Perrier; Julien Diard (INTERSPEECH, 2016)

Modélisation bayésienne de la planification motrice des gestes de parole: Évaluation du rôle des différentes modalités sensorielles (Bayesian modeling of speech gesture motor planning: Evaluating the role of different sensory modalities ). - Jean-François Patri; Julien Diard; Pascal Perrier (JEP-TALN-RECITAL (1), 2016)

Automatized set-up procedure for transcranial magnetic stimulation protocols. - Sylvain Harquel; Julien Diard; Estelle Raffin; Brice Passera; Gaelle Dall'Igna; Christian Marendaz; Olivier David 001; Alan Chauvin (NeuroImage, 2017)

Reconciling opposite neighborhood frequency effects in lexical decision: Evidence from a novel probabilistic model of visual word recognition. - Thierry Phenix; Sylviane Valdois; Julien Diard (CogSci, 2018)

COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning. - Marie-Lou Barnaud; Julien Diard; Pierre Bessière; Jean-Luc Schwartz (INTERSPEECH, 2018)

What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework. - Jean-François Patri; Pascal Perrier; Jean-Luc Schwartz; Julien Diard (PLoS Comput. Biol., 2018)

Simulating length and frequency effects across multiple tasks with the Bayesian model BRAID-Phon. - Ali Saghiran; Sylviane Valdois; Julien Diard (CogSci, 2020)

Dynamical Variational Autoencoders: A Comprehensive Review. - Laurent Girin; Simon Leglaive; Xiaoyu Bie; Julien Diard; Thomas Hueber; Xavier Alameda-Pineda (Found. Trends Mach. Learn., 2021)

Bayesian gates: a probabilistic modeling tool for temporal segmentation of sensory streams into sequences of perceptual accumulators. - Mamady Nabé; Jean-Luc Schwartz; Julien Diard (CogSci, 2022)

Bayesian comparators: a probabilistic modeling tool for similarity evaluation between predicted and perceived patterns. - Alexandra Steinhilber; Sylviane Valdois; Julien Diard (CogSci, 2022)

Repeat after Me: Self-Supervised Learning of Acoustic-to-Articulatory Mapping by Vocal Imitation. - Marc-Antoine Georges; Julien Diard; Laurent Girin; Jean-Luc Schwartz; Thomas Hueber (ICASSP, 2022)

Isochronous is beautiful? Syllabic event detection in a neuro-inspired oscillatory model is facilitated by isochrony in speech. - Mamady Nabé; Julien Diard; Jean-Luc Schwartz (INTERSPEECH, 2022)