Julien Diard

According to our database1, Julien Diard authored at least 27 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Dynamical Variational Autoencoders: A Comprehensive Review.
CoRR, 2020

Simulating length and frequency effects across multiple tasks with the Bayesian model BRAID-Phon.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2018
What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework.
PLoS Comput. Biol., 2018

COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning.
Proceedings of the Interspeech 2018, 2018

Reconciling opposite neighborhood frequency effects in lexical decision: Evidence from a novel probabilistic model of visual word recognition.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Automatized set-up procedure for transcranial magnetic stimulation protocols.
NeuroImage, 2017

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 ).
Proceedings of the Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 1 : JEP, 2016

Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints.
Proceedings of the Interspeech 2016, 2016

Assessing Idiosyncrasies in a Bayesian Model of Speech Communication.
Proceedings of the Interspeech 2016, 2016

Sensorimotor learning in a Bayesian computational model of speech communication.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

2015
COSMO ("Communicating about Objects using Sensory-Motor Operations"): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems.
J. Phonetics, 2015

Optimal speech motor control and token-to-token variability: a Bayesian modeling approach.
Biol. Cybern., 2015

COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

2014
Writer recognition in cursive eye writing: A Bayesian model.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Spatial Memory of Paths Using Circular Probability Distributions: Theoretical Properties, Navigation Strategies and Orientation Cue Combination.
Spatial Cogn. Comput., 2013

A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables.
Proceedings of the INTERSPEECH 2013, 2013

2012
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].
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, 2012

2010
Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment.
Connect. Sci., 2010

2008
BBPRM: A behavior-based probabilistic roadmap method.
Proceedings of the IEEE International Conference on Systems, 2008

2005
Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Merging probabilistic models of navigation: the Bayesian map and the superposition operator.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

2004
Programmation bayésienne des robots.
Rev. d'Intelligence Artif., 2004

Bayesian Robot Programming.
Auton. Robots, 2004

Hierarchies of Probabilistic Models of Navigation: the Bayesian Map and the Abstraction Operator.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

A Theoretical Comparison of Probabilistic and Biomimetic Models of Mobile Robot Navigation.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

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).
PhD thesis, 2003

Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples.
Proceedings of the Ad-Hoc, Mobile, and Wireless Networks, Second International Conference, 2003


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