"Scientific challenges of Confiance.AI". ECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases., September, 2022. Grenoblepdf
"The industrial challenges of deploying AI in critical systems". ECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases., September, 2022. Grenoblepdf
"Mixtures-of-experts with functional predictors". Talk at the 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021)., December, 2021. London, UKpdf
"Optimized Learning of Structured Random Systems". Talk at Luxembourg Institute of Science and Technology (LIST)., March, 2021. Luxpdf
"Statistical Analysis Tools for Complex Time-Series Data". Talk hosted by R-Ladies, Tunis Section., nov, 2020. Tunispdf
"Towards a Random Ecosystem of Data Intelligence". Talk @ The Mathematical Sciences department Auckland University of Technology., , 2020. Auckland, New-Zelandpdf
"Mixtures-of-Experts for Functional Data". Talk @ The University of Queensland, School of Mathematics and Physics., August, 2019. Brisbane, Australiapdf
"Unsupervised Statistical Learning from Heterogeneous Time-Series and Functional Data". Keynote note talk at the Research School on Statistics and Data Science-RSSDS 2019., July, 2019. La Trobe University, Melbournepdf
"Functional Mixtures-of-Experts". Working group on Statistics & Data Sciences @ LMNO., June, 2019. Caenpdf
"Functional Mixtures-of-Experts". Invited talk at the Model-based and multivariate functional data session, CRONOS Multivariate Data Analysis workshop., April, 2019. Limassol, Cypriuspdf
"Statistical Modeling and Inference for unsupervised Learning at LargE-Scale". Kickoff meeting of the project ANR SMILES., February, 2019. Parispdf
"Statistical data science and some unsupervised learning problems". Keynote note talk @ the International Symposium on Data Science and Computational Intelligence DSCI 2018., December, 2018. Hammamet, Tunisiapdf
"Model-based (co-)clustering in some high-dimensional scenarios". Annual Summer Session of the Working Group on Model-Based Clustering, Ann Arbor, USA., July, 2018. Ann Arbor, USApdf
"Unsupervised learning from high-dimensional and functional data". International Research Summer School in Statistics & Data Science - S4D 2018., june, 2018. Caenpdf
"On some new Mixtures-of-Experts Models". International Research Summer School in Statistics & Data Science - S4D 2018., june, 2018. Caenpdf
"Introduction of S4D 2018". International Research Summer School in Statistics & Data Science - S4D 2018., june, 2018. Caenpdf
"SMILES: Statistical Modeling and Inference for unsupervised Learning at LargE-Scale". Talk at the days of the Normandy Federations of Mathematics (Normath) and Information Sciences and Technologies (Normastic)., 12 Oct, 2018. Rouen, Francepdf
"Model-Based Co-Clustering of High-Dimensional Functional Data". ERCIM 2017 : The 10th International Conference of the European Research Consortium for Informatics and Mathematics on Computational and Methodological Statistics, London, UK., December, 2017. London, UK
"Introduction on Sata Science". International Research Summer School in Statistics & BigData Science - SBDS 2017., june, 2017. Caenpdf
"On some statistical data analysis and learning problems in Data Science". Plenary talk at the days of the Normandy Federation of Information Sciences and Technologies (Normastic), Rouen, France., 30 Mar, 2017. Rouen, Francepdf
"Statistical learning of generative models for signal processing". Seminar of the center of research in computer science, signal and automatic control of Lille, Signal, Models and Applications-SIGMA team., March 07, 2016. Lille, Francepdf
"Hierarchical dynamical mixtures for functional data clustering and segmentation". Joint Statistics Seminar, Department of mathematics, KU Leuven, Leuven, Belgium., 01 Dec, 2016. Leuven, Belgiumpdf
"Statistical learning of latent variable models for complex data analysis". Plenary talk at the days of the Federation of Mathematics of Normandie (FNM), Rouen, France., 06 Oct, 2016. Rouen, Francepdf
"Statistical learning of latent variable models for complex data analysis". Seminar of Institut Elie Cartan, IECL - UMR CNRS 7502 - Nancy, France., April 18, 2016. Nancy, Francepdf
"Statistical learning of latent variable models for complex data analysis". Seminar of LORIA, UMR CNRS 7503 - Nancy, France., March 23, 2016. Nancy, Francepdf
"Statistical learning of latent variable models for complex data analysis". Seminar of the lab of mathematics of Evry - LaMME UMR CNRS 8071, Evry, France., March 17, 2016. Evry, Francepdf
"Statistical learning of latent variable models for complex data analysis". Seminar of the lab of mathematics of Caen - LMNO UMR CNRS 6139, Caen, France., March 15, 2016. Caen, Francepdf
"Statistical learning of generative models for complex data analysis". Seminar of the lab of fundamental computer science of Marseille - LIF UMR CNRS 7279, Marseille, France., March 1st, 2016. Marseille, Francepdf
"On some mixtures for modeling complex datasets". Seminar of Inria Lille-Nord Europe, Models ofr Data Analysis and Learning (Modal) team., 12 jan, 2016. Lillepdf
"Robust non-normal mixtures of experts". ERCIM 2015 : The 8th International Conference of the European Research Consortium for Informatics and Mathematics on Computational and Methodological Statistics, London, UK., December, 2015. London, UKpdf
"Model-based cluster and discriminant analysis for functional data". ERCIM 2014 : The 7th International Conference of the European Research Consortium for Informatics and Mathematics on Computational and Methodological Statistics, Pisa, Italy., December, 2014. Pisa, Italypdf
"Mixture models for cluster analysis: from model-based inference to Bayesian non-parametrics". uLearnBio workshop of the International Conference on Machine Learning (ICML), Beijing., June, 2014. Beijingpdf
"Learning probabilistic latent process models from temporal data". VIIth International Summer School ERMITES 2012 on Representations and Decisions in Cognitive Vision, La seyne/Mer., september, 2012. La seyne/Merpdf
"Modèle probabiliste à base de processus latent pour la description et la classification de signaux". The Computer Science lab of Paris 13 University (LIPN)., April, 2010. Parispdf