Julien Diard

37 papers A* 2A 8B 8Misc 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Theoretical proposal for a unified Bayesian model of adaptation in non-interactive and interactive speech production.
INTERSPEECH
Mélen Guillaume, Anahita Basirat, Julien Diard
2025 B conf
Visual attention and cross-linguistic effects in reading: Simulations with BRAID-Acq, a probabilistic model of reading.
CogSci
Camille Charrier, Alexandra Steinhilber, Emilie Ginestet, Sylviane Valdois, Julien Diard
2024 B conf
Comparing online and post-processing pronunciation correction during orthographic incidental learning: A computational study with the BRAID-Acq model.
CogSci
Alexandra Steinhilber, Sylviane Valdois, Julien Diard
2022 B conf
Bayesian comparators: a probabilistic modeling tool for similarity evaluation between predicted and perceived patterns.
CogSci
Alexandra Steinhilber, Sylviane Valdois, Julien Diard
2022 B conf
Bayesian gates: a probabilistic modeling tool for temporal segmentation of sensory streams into sequences of perceptual accumulators.
CogSci
Mamady Nabé, Jean-Luc Schwartz, Julien Diard
2022 A conf
Isochronous is beautiful? Syllabic event detection in a neuro-inspired oscillatory model is facilitated by isochrony in speech.
INTERSPEECH
Mamady Nabé, Julien Diard, Jean-Luc Schwartz
2022 Misc conf
Repeat after Me: Self-Supervised Learning of Acoustic-to-Articulatory Mapping by Vocal Imitation.
ICASSP
Marc-Antoine Georges, Julien Diard, Laurent Girin, Jean-Luc Schwartz, Thomas Hueber
2022 J jnl
Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation.
CoRR
Marc-Antoine Georges, Julien Diard, Laurent Girin, Jean-Luc Schwartz, Thomas Hueber
2021 J jnl
Dynamical Variational Autoencoders: A Comprehensive Review.
Found. Trends Mach. Learn.
Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda
2020 J jnl
Dynamical Variational Autoencoders: A Comprehensive Review.
CoRR
Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda
2020 B conf
Simulating length and frequency effects across multiple tasks with the Bayesian model BRAID-Phon.
CogSci
Ali Saghiran, Sylviane Valdois, Julien Diard
2018 A conf
COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning.
INTERSPEECH
Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz
2018 B conf
Reconciling opposite neighborhood frequency effects in lexical decision: Evidence from a novel probabilistic model of visual word recognition.
CogSci
Thierry Phenix, Sylviane Valdois, Julien Diard
2018 J jnl
What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework.
PLoS Comput. Biol.
Jean-François Patri, Pascal Perrier, Jean-Luc Schwartz, Julien Diard
2017 J jnl
Automatized set-up procedure for transcranial magnetic stimulation protocols.
NeuroImage
Sylvain Harquel, Julien Diard, Estelle Raffin, Brice Passera, Gaelle Dall'Igna, Christian Marendaz, Olivier David, Alan Chauvin
2016 A conf
Assessing Idiosyncrasies in a Bayesian Model of Speech Communication.
INTERSPEECH
Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz
2016 A conf
Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints.
INTERSPEECH
Jean-François Patri, Pascal Perrier, Julien Diard
2016 — conf
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 ).
JEP-TALN-RECITAL (1)
Jean-François Patri, Julien Diard, Pascal Perrier
2016 — conf
Sensorimotor learning in a Bayesian computational model of speech communication.
ICDL-EPIROB
Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessière
2015 J jnl
COSMO ("Communicating about Objects using Sensory-Motor Operations"): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems.
J. Phonetics
Clément Moulin-Frier, Julien Diard, Jean-Luc Schwartz, Pierre Bessière
2015 — conf
COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception.
ICDL-EPIROB
Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz
2015 J jnl
Optimal speech motor control and token-to-token variability: a Bayesian modeling approach.
Biol. Cybern.
Jean-François Patri, Julien Diard, Pascal Perrier
2014 B conf
Writer recognition in cursive eye writing: A Bayesian model.
CogSci
Myriam Chanceaux, Vincent Rynik, Jean Lorenceau, Julien Diard
2013 A conf
A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables.
INTERSPEECH
Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard
2013 J jnl
Spatial Memory of Paths Using Circular Probability Distributions: Theoretical Properties, Navigation Strategies and Orientation Cue Combination.
Spatial Cogn. Comput.
Julien Diard, Pierre Bessière, Alain Berthoz
2012 — conf
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
Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard
2010 J jnl
Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment.
Connect. Sci.
Julien Diard, Estelle Gilet, Éva Simonin, Pierre Bessière
2008 B conf
BBPRM: A behavior-based probabilistic roadmap method.
SMC
Éva Simonin, Julien Diard
2008 — ch.
Bayesian Maps: Probabilistic and Hierarchical Models for Mobile Robot Navigation.
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
Julien Diard, Pierre Bessière
2005 A conf
Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors.
IROS
Éva Simonin, Julien Diard, Pierre Bessière
2005 A conf
Merging probabilistic models of navigation: the Bayesian map and the superposition operator.
IROS
Julien Diard, Pierre Bessière, Emmanuel Mazer
2004 A* conf
A Theoretical Comparison of Probabilistic and Biomimetic Models of Mobile Robot Navigation.
ICRA
Julien Diard, Pierre Bessière, Emmanuel Mazer
2004 J jnl
Bayesian Robot Programming.
Auton. Robots
Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer
2004 A* conf
Hierarchies of Probabilistic Models of Navigation: the Bayesian Map and the Abstraction Operator.
ICRA
Julien Diard, Pierre Bessière, Emmanuel Mazer
2004 J jnl
Programmation bayésienne des robots.
Rev. d'Intelligence Artif.
Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer
2003 — conf
Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples.
Embodied Artificial Intelligence
David Bellot, Roland Siegwart, Pierre Bessière, Adriana Tapus, Christophe Coué, Julien Diard
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