{"id":3612,"date":"2022-04-14T17:33:38","date_gmt":"2022-04-14T15:33:38","guid":{"rendered":"https:\/\/samovar2022.int-evry.fr\/index.php\/acmes-2\/yohan-petetin-2\/"},"modified":"2022-04-14T17:33:49","modified_gmt":"2022-04-14T15:33:49","slug":"yohan-petetin-2","status":"publish","type":"page","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/acmes-2\/yohan-petetin-2\/","title":{"rendered":"Yohan PETETIN"},"content":{"rendered":"<p><div class=\"bandeau-personnel MonLaboUser\"><img decoding=\"async\" src=\"https:\/\/samovar.telecom-sudparis.eu\/wp-content\/uploads\/2022\/07\/Yohan-PETETIN.jpg\" class=\"wp-image-6 alignleft img-arrondi wp-post-image\" height=\"150\" width=\"150\" alt=\" \" \/><div class=\"adresse\"><p>SAMOVAR - SAMOVAR<br \/>Telecom SudParis<br \/>\r\n9 rue Charles Fourier<br \/>\r\n91011 EVRY CEDEX<\/p><p>Fax : +33 (0) 1 60 76 20 80<\/p><\/div><div class=\"monlaboBlocTexte\"><h1>Yohan <span class=\"MonLabo-lastname\">PETETIN<\/span><\/h1><div class=\"coordonnees\"><em>Professeur<\/em><br \/><span class=\"team-description\"><a href=\"https:\/\/samovar.telecom-sudparis.eu\/?page_id=4729\" class=\"MonLaboLink\"><span class=\"MonLabo_team_name\">SOP<\/span><\/a><\/span><\/div><div class=\"coordonnees\"><span class=\"MonLabo-email\">yohan.petetin[&#64;<span>-Code to remove to avoid SPAM-<\/span>]telecom-sudparis.eu<\/span><\/div><div class=\"external_url\"><h1 style=\"text-align: center;\"><a href=\"http:\/\/www-public.tem-tsp.eu\/~petetin\/\"><button class=\"btn btn-oldstyle\" type=\"button\">Site personnel<\/button><\/a><\/h1><\/div><\/div><\/div>\n<div id=\"res_script\">\n<p class='Rubrique'>Article dans une revue<\/p>\n<p class='SousRubrique'>2024<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yazid Janati, Sylvain Le Corff, Yohan Petetin. Variance estimation for Sequential Monte Carlo Algorithms: a backward sampling approach. <i>Bernoulli<\/i>, 2024, 30 (2), <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.3150\/23-BEJ1586\">&#x27E8;10.3150\/23-BEJ1586&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-03630333v2\">&#x27E8;hal-03630333v2&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-03630333\/file\/arxivpaper.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-03630333\/file\/arxivpaper.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-03630333\/file\/arxivpaper.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-03630333v2\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2023<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Fran\u00e7ois Desbouvries, Yohan Petetin, Achille Sala\u00fcn. Expressivity of hidden Markov chains vs. Recurrent neural networks from a system theoretic viewpoint. <i>IEEE Transactions on Signal Processing<\/i>, 2023, 71, pp.4178-4191. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/TSP.2023.3328108\">&#x27E8;10.1109\/TSP.2023.3328108&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-03746170v1\">&#x27E8;hal-03746170&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-03746170\/file\/main.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-03746170\/file\/main.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-03746170\/file\/main.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-03746170v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Hugo Gangloff, Katherine Morales, Yohan Petetin. Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data. <i>Computational Statistics and Data Analysis<\/i>, 2023, 180, pp.107663. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1016\/j.csda.2022.107663\">&#x27E8;10.1016\/j.csda.2022.107663&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-03584314v1\">&#x27E8;hal-03584314&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-03584314\/file\/Deep%20parameterizations%20of%20pairwise%20and%20triplet%20Markov%20models.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-03584314\/file\/Deep%20parameterizations%20of%20pairwise%20and%20triplet%20Markov%20models.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-03584314\/file\/Deep%20parameterizations%20of%20pairwise%20and%20triplet%20Markov%20models.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-03584314v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2021<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Yazid Janati, Fran\u00e7ois Desbouvries. Structured variational Bayesian inference for Gaussian state-space models with regime switching. <i>IEEE Signal Processing Letters<\/i>, 2021, 28, pp.1953-1957. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/LSP.2021.3113279\">&#x27E8;10.1109\/LSP.2021.3113279&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-03348244v1\">&#x27E8;hal-03348244&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-03348244v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2018<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Roland Lamberti, Yohan Petetin, Fran\u00e7ois Desbouvries, Fran\u00e7ois Septier. Semi-independent resampling for particle filtering. <i>IEEE Signal Processing Letters<\/i>, 2018, 25 (1), pp.130 - 134. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/LSP.2017.2775150\">&#x27E8;10.1109\/LSP.2017.2775150&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01670395v1\">&#x27E8;hal-01670395&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01670395\/file\/1710.05407.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01670395\/file\/1710.05407.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01670395\/file\/1710.05407.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01670395v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2017<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Roland Lamberti, Yohan Petetin, Fran\u00e7ois Desbouvries, Fran\u00e7ois Septier. Independent resampling sequential Monte Carlo algorithms. <i>IEEE Transactions on Signal Processing<\/i>, 2017, 65 (20), pp.5318 - 5333. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/TSP.2017.2726971\">&#x27E8;10.1109\/TSP.2017.2726971&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01593422v1\">&#x27E8;hal-01593422&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01593422\/file\/1607.05758.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01593422\/file\/1607.05758.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01593422\/file\/1607.05758.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01593422v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2015<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Bayesian conditional Monte Carlo Algorithm for nonlinear time-series state estimation. <i>IEEE Transactions on Signal Processing<\/i>, 2015, 63 (14), pp.3586 - 3598. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/TSP.2015.2423251\">&#x27E8;10.1109\/TSP.2015.2423251&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01255022v1\">&#x27E8;hal-01255022&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01255022\/file\/article_YohanPetetin.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01255022\/file\/article_YohanPetetin.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01255022\/file\/article_YohanPetetin.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01255022v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2014<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Noufel Abbassi, St\u00e9phane Derrode, Fran\u00e7ois Desbouvries, Yohan Petetin, Wojciech Pieczynski. Filtrage statistique optimal rapide dans des syst\u00e8mes lin\u00e9aires \u00e0 sauts non stationnaires. <i>Traitement du Signal<\/i>, 2014, 31 (3-4), pp.339-361. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.3166\/TS.31.1-23\">&#x27E8;10.3166\/TS.31.1-23&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01157813v1\">&#x27E8;hal-01157813&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01157813\/file\/TS2014.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01157813\/file\/TS2014.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01157813\/file\/TS2014.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01157813v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. A class of fast exact Bayesian filters in dynamical models with jumps. <i>IEEE Transactions on Signal Processing<\/i>, 2014, 62 (14), pp.3643 - 3653. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/TSP.2014.2329265\">&#x27E8;10.1109\/TSP.2014.2329265&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01262437v1\">&#x27E8;hal-01262437&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01262437\/file\/arXiv_1310.0226.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01262437\/file\/arXiv_1310.0226.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01262437\/file\/arXiv_1310.0226.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01262437v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Mark Morelande, Fran\u00e7ois Desbouvries. Marginalized particle PHD filters for multiple object Bayesian filtering. <i>IEEE Transactions on Aerospace and Electronic Systems<\/i>, 2014, 50 (2), pp.1182 - 1196 <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/TAES.2014.120805\">&#x27E8;10.1109\/TAES.2014.120805&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01264791v1\">&#x27E8;hal-01264791&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01264791v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2013<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Optimal SIR algorithm vs. fully adapted auxiliary particle filter : a non asymptotic analysis. <i>Statistics and Computing<\/i>, 2013, 23 (6), pp.759-775. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1007\/s11222-012-9345-5\">&#x27E8;10.1007\/s11222-012-9345-5&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00862193v1\">&#x27E8;hal-00862193&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00862193v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Bayesian multi-object filtering for pairwise Markov chains. <i>IEEE Transactions on Signal Processing<\/i>, 2013, 61 (18), pp.4481 - 4490. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/TSP.2013.2271751\">&#x27E8;10.1109\/TSP.2013.2271751&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01263075v1\">&#x27E8;hal-01263075&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01263075v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2011<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Fran\u00e7ois Desbouvries, Yohan Petetin, Boujemaa Ait-El-Fquih. Direct, prediction- and smoothing-based Kalman and particle filter algorithms. <i>Signal Processing<\/i>, 2011, 91 (8), pp.2064 - 2077. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1016\/j.sigpro.2011.03.013\">&#x27E8;10.1016\/j.sigpro.2011.03.013&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01354694v1\">&#x27E8;hal-01354694&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01354694v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='Rubrique'>Communication dans un congr\u00e8s<\/p>\n<p class='SousRubrique'>2024<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Idyano Leroy, Augustin Saucan, Augustin Alexandru Saucan, Yohan Petetin, Daniel Clark. An analysis of the mutual information upper bound for sensor-subset selection. <i>27th International Conference on Information Fusion (FUSION)<\/i>, Jul 2024, Venice, Italy. pp.1-8, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.23919\/FUSION59988.2024.10706439\">&#x27E8;10.23919\/FUSION59988.2024.10706439&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-04918809v1\">&#x27E8;hal-04918809&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-04918809v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2019<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Nicolas Aussel, Fabian Dubourvieux, Yohan Petetin. Spatio-temporal convolutional neural networks for failure prediction. <i>GRETSI 2019: XXVII\u00e8me colloque francophone de traitement du signal et des images<\/i>, Aug 2019, Lille, France. pp.1-5. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-02282219v1\">&#x27E8;hal-02282219&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-02282219\/file\/gretsi_2019_YP.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-02282219\/file\/gretsi_2019_YP.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-02282219\/file\/gretsi_2019_YP.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-02282219v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Achille Sala\u00fcn, Yohan Petetin, Fran\u00e7ois Desbouvries. Comparing the modeling powers of RNN and HMM. <i>ICMLA 2019: 18th International Conference on Machine Learning and Applications<\/i>, Dec 2019, Boca Raton, FL, United States. pp.1496-1499. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-02387002v1\">&#x27E8;hal-02387002&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-02387002\/file\/2019-icmla.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-02387002\/file\/2019-icmla.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-02387002\/file\/2019-icmla.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-02387002v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2018<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Nicolas Aussel, Yohan Petetin, Sophie Chabridon. Improving performances of log mining for anomaly prediction through NLP-based log parsing. <i>MASCOTS 2018: 26th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems<\/i>, Sep 2018, Milwaukee, United States. pp.237 - 243, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/MASCOTS.2018.00031\">&#x27E8;10.1109\/MASCOTS.2018.00031&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01919820v1\">&#x27E8;hal-01919820&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01919820\/file\/2018_hal-01919820.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01919820\/file\/2018_hal-01919820.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01919820\/file\/2018_hal-01919820.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01919820v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Roland Lamberti, Yohan Petetin, Fran\u00e7ois Septier, Fran\u00e7ois Desbouvries. A double proposal normalized importance sampling estimator. <i>SSP 2018: IEEE Statistical Signal Processing Workshop<\/i>, Jun 2018, Freiburg, Germany. pp.238 - 242, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/SSP.2018.8450849\">&#x27E8;10.1109\/SSP.2018.8450849&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01870199v1\">&#x27E8;hal-01870199&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01870199\/file\/2018-ssp-roland.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01870199\/file\/2018-ssp-roland.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01870199\/file\/2018-ssp-roland.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01870199v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2017<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Nicolas Aussel, Samuel Jaulin, Guillaume Gandon, Yohan Petetin, Eriza Fazli, et al.. Predictive models of hard drive failures based on operational data. <i> ICMLA 2017 : 16th IEEE International Conference On Machine Learning And Applications<\/i>, Dec 2017, Cancun, Mexico. pp.619 - 625, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ICMLA.2017.00-92\">&#x27E8;10.1109\/ICMLA.2017.00-92&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01703140v1\">&#x27E8;hal-01703140&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01703140\/file\/article_preprint.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01703140\/file\/article_preprint.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01703140\/file\/article_preprint.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01703140v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Roland Lamberti, Fran\u00e7ois Desbouvries, Fran\u00e7ois Septier, Yohan Petetin. R\u00e9\u00e9chantillonnage ind\u00e9pendant et semi-ind\u00e9pendant pour le filtrage particulaire. <i>XXVI\u00e8me Colloque GRETSI<\/i>, Sep 2017, Juan-Les-Pins, France. <a target=\"_blank\" href=\"https:\/\/imt.hal.science\/hal-01679000v1\">&#x27E8;hal-01679000&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/imt.hal.science\/hal-01679000v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2016<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Roland Lamberti, Yohan Petetin, Fran\u00e7ois Septier, Fran\u00e7ois Desbouvries. Particle filters with independent resampling. <i>ICASSP 2016 : 41st International Conference on Acoustics, Speech and Signal Processing<\/i>, Mar 2016, Shanghai, China. pp.3994 - 3998, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ICASSP.2016.7472427\">&#x27E8;10.1109\/ICASSP.2016.7472427&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01341157v1\">&#x27E8;hal-01341157&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01341157v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Roland Lamberti, Yohan Petetin, Fran\u00e7ois Septier, Fran\u00e7ois Desbouvries. An improved SIR-based sequential Monte Carlo algorithm. <i>2016 IEEE Workshop on Statistical Signal Processing (SSP 16)<\/i>, Jun 2016, Palma de Mallorca, Spain. <a target=\"_blank\" href=\"https:\/\/imt.hal.science\/hal-01359095v1\">&#x27E8;hal-01359095&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/imt.hal.science\/hal-01359095v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2015<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Un algorithme d'estimation non supervis\u00e9e dans des mod\u00e8les Markoviens \u00e0 sauts. <i>Gretsi 2015 : XXVe colloque Gretsi<\/i>, Sep 2015, Lyon, France. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01255026v1\">&#x27E8;hal-01255026&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01255026\/file\/article_YohanPetetin_2015-gretsi.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01255026\/file\/article_YohanPetetin_2015-gretsi.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01255026\/file\/article_YohanPetetin_2015-gretsi.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01255026v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Cyrille Laroche, Aurelien Mayoue. Deep neural networks for audio scene recognition. <i>2015 23rd European Signal Processing Conference (EUSIPCO)<\/i>, Aug 2015, Nice, France. pp.7362358, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/EUSIPCO.2015.7362358\">&#x27E8;10.1109\/EUSIPCO.2015.7362358&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01888746v1\">&#x27E8;hal-01888746&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01888746\/file\/article_YohanPetetin_Deepneuralnetworks.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01888746\/file\/article_YohanPetetin_Deepneuralnetworks.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01888746\/file\/article_YohanPetetin_Deepneuralnetworks.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01888746v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2014<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Exact Bayesian estimation in constrained Triplet Markov Chains. <i>2014 MLSP : IEEE International Workshop on Machine Learning for Signal Processing<\/i>, Sep 2014, Reims, France. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/MLSP.2014.6958847\">&#x27E8;10.1109\/MLSP.2014.6958847&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01262438v1\">&#x27E8;hal-01262438&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-01262438\/file\/article_YohanPetetin_Exact%20Bayesian%20estimation.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-01262438\/file\/article_YohanPetetin_Exact%20Bayesian%20estimation.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-01262438\/file\/article_YohanPetetin_Exact%20Bayesian%20estimation.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-01262438v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2013<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Marc Blanc-Patin, Marion Chevalier, Audrey Dupont, Emmanuel Monfrini, Yohan Petetin. Poursuite de cible par un senseur mobile ; rep\u00e9rage multisenseur de la position du senseur mobile. <i>XXIV\u00e8me Colloque Gretsi<\/i>, Sep 2013, Brest, France. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00867150v1\">&#x27E8;hal-00867150&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00867150v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Un nouvel algorithme de filtrage dans les mod\u00e8les de Markov \u00e0 saut lin\u00e9aires et Gaussiens. <i>XXIV\u00e8me Colloque Gretsi<\/i>, Sep 2013, Brest, France. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00867111v1\">&#x27E8;hal-00867111&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00867111v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Mark Morelande, Fran\u00e7ois Desbouvries. Filtrage particulaire marginalis\u00e9 pour la poursuite multi-objets. <i>XXIV\u00e8me Colloque Gretsi<\/i>, Sep 2013, Brest, France. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00867104v1\">&#x27E8;hal-00867104&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00867104v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Wojciech Pieczynski, St\u00e9phane Derrode, Noufel Abbassi, Yohan Petetin, Fran\u00e7ois Desbouvries. Exact optimal filtering in an approximating switching system. <i>TAIMA 2013 : Traitement et Analyse de l'Information M\u00e9thodes et Applications<\/i>, May 2013, Hammamet, Tunisia. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01461574v1\">&#x27E8;hal-01461574&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01461574v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2012<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. A semi-exact sequential Monte Carlo filtering algorithm in hidden Markov chains. <i>ISSPA '12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications<\/i>, Jul 2012, Montreal, Canada. pp.595-600, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ISSPA.2012.6310621\">&#x27E8;10.1109\/ISSPA.2012.6310621&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00765899v1\">&#x27E8;hal-00765899&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00765899v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Further Rao-Blackwellizing an already Rao-Blackwellized algorithm for jump Markov state space systems. <i>ISSPA '12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications<\/i>, Jul 2012, Montreal, Canada. pp.706-711, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ISSPA.2012.6310644\">&#x27E8;10.1109\/ISSPA.2012.6310644&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00765888v1\">&#x27E8;hal-00765888&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00765888v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. A mixed GM\/SMC implementation of the probability hypothesis density filter. <i>ISSPA '12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications<\/i>, Jul 2012, Montreal, Canada. pp.425-430, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ISSPA.2012.6310588\">&#x27E8;10.1109\/ISSPA.2012.6310588&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00765490v1\">&#x27E8;hal-00765490&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00765490v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Multi-object filtering for pairwise Markov chains. <i>ISSPA '12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications<\/i>, Jul 2012, Montreal, Canada. pp.348 -353, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ISSPA.2012.6310573\">&#x27E8;10.1109\/ISSPA.2012.6310573&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00765497v1\">&#x27E8;hal-00765497&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00765497v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Marginalized PHD filters for multi-target filtering. <i>ISSPA '12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications<\/i>, Jul 2012, Montreal, Canada. pp.419-424, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ISSPA.2012.6310587\">&#x27E8;10.1109\/ISSPA.2012.6310587&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-00765488v1\">&#x27E8;hal-00765488&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-00765488v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2011<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Fran\u00e7ois Desbouvries, Yohan Petetin, Emmanuel Monfrini. Optimal SIR algorithm vs. fully adapted auxiliary particle filter : a matter of conditional independence. <i>ICASSP 2011 : International Conference on Acoustics, Speech and Signal Processing<\/i>, May 2011, Prague, Czech Republic. pp.3992 - 3995, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/ICASSP.2011.5947227\">&#x27E8;10.1109\/ICASSP.2011.5947227&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01304056v1\">&#x27E8;hal-01304056&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01304056v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Fran\u00e7ois Desbouvries, Yohan Petetin, Emmanuel Monfrini. A non asymptotical analysis of the optimal SIR algorithm vs. the fully adapted auxiliary particle filter. <i>SSP 2011 : Statistical Signal Processing Workshop<\/i>, Jun 2011, Nice, France. pp.213 - 216, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/SSP.2011.5967662\">&#x27E8;10.1109\/SSP.2011.5967662&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01354690v1\">&#x27E8;hal-01354690&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01354690v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Fran\u00e7ois Desbouvries, Yohan Petetin, Emmanuel Monfrini. Filtrage particulaire optimal et filtrage particulaire auxiliaire adapt\u00e9 : une analyse non asymptotique. <i>GRETSI 2011 : XXIIIe Colloque<\/i>, Sep 2011, Bordeaux, France. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01347966v1\">&#x27E8;hal-01347966&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01347966v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. A particle smoothing implementation of the fully-adapted auxiliary particle filter : an alternative to auxiliary particle filters. <i>SSP 2011 : Statistical Signal Processing Workshop<\/i>, Jun 2011, Nice, France. pp.217 - 220, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/SSP.2011.5967663\">&#x27E8;10.1109\/SSP.2011.5967663&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01354688v1\">&#x27E8;hal-01354688&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01354688v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='SousRubrique'>2010<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin, Fran\u00e7ois Desbouvries. Direct vs. indirect sequential Monte-Carlo filters. <i>SMTDA 2010 : Stochastic Modeling Techniques and Data Analysis International Conference<\/i>, Jun 2010, Chania, Greece. pp.121 - 128. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01306303v1\">&#x27E8;hal-01306303&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01306303v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='Rubrique'>HDR<\/p>\n<p class='SousRubrique'>2023<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin. Generative models for times series data. Statistiques [math.ST]. Institut polytechnique de Paris, 2023. <a target=\"_blank\" href=\"https:\/\/hal.science\/tel-04414619v1\">&#x27E8;tel-04414619&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/tel-04414619\/file\/HDR_Yohan.P.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/tel-04414619\/file\/HDR_Yohan.P.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/tel-04414619\/file\/HDR_Yohan.P.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/tel-04414619v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='Rubrique'>Poster de conf\u00e9rence<\/p>\n<p class='SousRubrique'>2014<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Roland Lamberti, Thomas Durier, Frederic Lehmann, Yohan Petetin, Dominique Maltese. Track-before-detect and PHD filter for multi-object tracking in infrared image sequences. <i>SENSO 2014 : Sensors, Energy harvesting, wireless Network and Smart Objects<\/i>, Oct 2014, Gardanne, France. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-01332943v1\">&#x27E8;hal-01332943&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au bibtex<\/dt>\n<dd class=\"ValeurRes LienBibtex\">\n<a href=\"https:\/\/hal.science\/hal-01332943v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/dd>\n<\/dl>\n<p class='Rubrique'>Th\u00e8se<\/p>\n<p class='SousRubrique'>2013<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin. Algorithmes de restauration Bay\u00e9sienne mono- et multiobjet(s) dans des mod\u00e8les Markoviens. Math\u00e9matiques [math]. Telecom SudParis, 2013. Fran\u00e7ais. <a target=\"_blank\" href=\"https:\/\/www.theses.fr\/\">&#x27E8;NNT : &#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/tel-04414609v1\">&#x27E8;tel-04414609&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/tel-04414609\/file\/These_Yohan.P.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/tel-04414609\/file\/These_Yohan.P.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/tel-04414609\/file\/These_Yohan.P.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/tel-04414609v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Yohan Petetin. Algorithmes de restauration bay\u00e9sienne mono- et multi-objets dans des mod\u00e8les markoviens. Math\u00e9matiques g\u00e9n\u00e9rales [math.GM]. Institut National des T\u00e9l\u00e9communications, 2013. Fran\u00e7ais. <a target=\"_blank\" href=\"https:\/\/www.theses.fr\/2013TELE0032\">&#x27E8;NNT : 2013TELE0032&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/theses.hal.science\/tel-00939083v1\">&#x27E8;tel-00939083&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/theses.hal.science\/tel-00939083\/file\/PETETIN_Yohan-SMPC.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/theses.hal.science\/tel-00939083\/file\/PETETIN_Yohan-SMPC.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/theses.hal.science\/tel-00939083\/file\/PETETIN_Yohan-SMPC.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/theses.hal.science\/tel-00939083v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='Rubrique'>Pr\u00e9-publication, Document de travail<\/p>\n<p class='SousRubrique'>2026<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Anas Cherradi, Yazid Janati, Alain Durmus, Sylvain Le Corff, Yohan Petetin, et al.. Entropic Mirror Monte Carlo. 2026. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-05486036v1\">&#x27E8;hal-05486036&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-05486036\/file\/EM2C.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-05486036\/file\/EM2C.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-05486036\/file\/EM2C.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-05486036v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2022<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Hugo Gangloff, Katherine Morales, Yohan Petetin. Cha\u00eenes de Markov cach\u00e9es \u00e0 bruit g\u00e9n\u00e9ralis\u00e9. 2022. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-03698101v1\">&#x27E8;hal-03698101&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-03698101\/file\/mtmc_gretsi.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-03698101\/file\/mtmc_gretsi.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-03698101\/file\/mtmc_gretsi.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-03698101v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2021<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Hugo Gangloff, Katherine Morales, Yohan Petetin. A GENERAL PARAMETRIZATION FRAMEWORK FOR PAIRWISE MARKOV MODELS: AN APPLICATION TO UNSUPERVISED IMAGE SEGMENTATION. 2021. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-03181237v2\">&#x27E8;hal-03181237v2&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-03181237\/file\/general_pmc_new.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-03181237\/file\/general_pmc_new.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-03181237\/file\/general_pmc_new.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-03181237v2\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Katherine Morales, Yohan Petetin. Variational Bayesian inference for pairwise Markov models. 2021. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-03237172v1\">&#x27E8;hal-03237172&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-03237172\/file\/Morales_Petetin_ssp_2021.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-03237172\/file\/Morales_Petetin_ssp_2021.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-03237172\/file\/Morales_Petetin_ssp_2021.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-03237172v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2019<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Nicolas Aussel, Sophie Chabridon, Yohan Petetin. Combining federated and active learning for communication-efficient distributed failure prediction in aeronautics. 2019. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-02446200v1\">&#x27E8;hal-02446200&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-02446200\/file\/article.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-02446200\/file\/article.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-02446200\/file\/article.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-02446200v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<\/div>\n<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":4234,"parent":2438,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","footnotes":""},"class_list":["post-3612","page","type-page","status-publish","has-post-thumbnail","hentry","entry","has-media"],"_links":{"self":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/3612","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/comments?post=3612"}],"version-history":[{"count":1,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/3612\/revisions"}],"predecessor-version":[{"id":3613,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/3612\/revisions\/3613"}],"up":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/2438"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/media\/4234"}],"wp:attachment":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/media?parent=3612"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}