{"id":203,"date":"2018-07-04T19:43:46","date_gmt":"2018-07-04T17:43:46","guid":{"rendered":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/?page_id=203"},"modified":"2024-09-10T11:27:25","modified_gmt":"2024-09-10T09:27:25","slug":"recherche-2","status":"publish","type":"page","link":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/?page_id=203","title":{"rendered":"Research Topics"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Main topics<\/h1>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Statistical Machine Learning, Deep Learning, Neural Networks, Artificial Intelligence<\/h3>\n\n\n\n<h3 class=\"wp-block-heading\"><\/h3>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Current projects<\/h1>\n\n\n\n<div id=\"pg-15-7\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-7-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-7-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"7\"><hr>\n<h3 class=\"widget-title\">Deep Learning For Vocal Brain Analysis<\/h3>\n<div class=\"textwidget\">\n<p>With Pascal Belin, Bruno Giordano and Sylvain Takerkart at <a href=\"http:\/\/www.int.univ-amu.fr\/\">INT<\/a><\/p>\n<p>Funding : Charly Lamothe&rsquo;s Ph.D with Pascal Belin&rsquo;ERC<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"panel-grid-cell panel-grid-cell-empty\">[one_third]The project aims at creating a map of the brain areas according to its processing level of input stimuli by comparing cerebral representations with learned representations in a deep neural net.[\/one_third]<\/div>\n\n\n<div class=\"panel-grid-cell panel-grid-cell-empty\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-211 alignleft\" src=\"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/wp-content\/uploads\/2018\/07\/BrainMusic.png\" alt=\"\" width=\"417\" height=\"200\"><\/div>\n<div id=\"pg-15-8\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-8-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-8-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"8\">\n<div><\/div>\n<div class=\"panel-grid-cell panel-grid-cell-empty\">[\/two_third_last]<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div id=\"pg-15-8\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-8-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-8-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"8\"><hr>\n<h3 class=\"widget-title\"><\/h3>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><\/h3>\n\n\n\n<h3 class=\"wp-block-heading\"><\/h3>\n\n\n\n<h1 class=\"wp-block-heading\"><\/h1>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Comparing computational and cerebral representations of voice and sounds<\/h3>\n\n\n\n<p>With Bruno Giordano<\/p>\n\n\n\n<p>Funding: Projet ANR AAPG 2021 <a href=\"https:\/\/recherche.centrale-marseille.fr\/fr\/news\/trois-appels-projets-generiques-retenus-lanr\">BrainSoundSem<\/a><\/p>\n\n\n\n<iframe loading=\"lazy\" src=\"https:\/\/anr.fr\/Projet-ANR-21-CE37-0027\" width=\"600\" height=\"300\"><\/iframe>\n\n\n<p>Voir les publications li\u00e9es sur HAL : https:\/\/cv.hal.science\/thierry-artieres\/primaryDomain_s\/%22info.info-sd%22<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">A mathematical framework for morpho-transcriptomics<\/h3>\n\n\n\n<p>With <a href=\"https:\/\/centuri-livingsystems.org\/p-villoutreix\/\"><span style=\"text-decoration: underline;\">Paul Villoutreix (LIS<\/span><\/a><\/p>\n\n\n\n<p>Funding: <a href=\"https:\/\/centuri-livingsystems.org\/m-senoussi\/\">Malek Senoussi&rsquo;s<\/a> Ph.D. funding from Paul Villoutreix&rsquo;s Centuri chaire<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Explainability in Neural Networks for sequence data<\/h3>\n\n\n\n<p>With Stephane Ayache (LIS) and Hamed Benazha (LIS)<\/p>\n\n\n\n<p>Funding : <a href=\"https:\/\/perso.univ-st-etienne.fr\/er101405\/TAUDoS\/index.html\">Projet ANR AAPG 2020 TAUDOS<\/a><\/p>\n\n\n\n<iframe loading=\"lazy\" src=\"https:\/\/perso.univ-st-etienne.fr\/er101405\/TAUDoS\/index.html\" width=\"600\" height=\"300\"><\/iframe>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Past Projects<\/h1>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Sequence modeling, labeling and classification<\/h3>\n\n\n\n<p>Design of statistical models for sequence labeling and classification based on Hidden Markov Models, Conditional Random Fields, and variants like Contextual Hidden Markov Models, Hidden&nbsp;Conditional Random Fields, neural extensions of these models etc.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Extreme Classification<\/h3>\n\n\n\n<p>[one_half]Extreme classification means classification in a very large number of classes (up top millions), either in monolabel or multilabel classification settings. This projet consisted in part in designing new methods for this challenging setting and in organizing international large scale classification challenges (LSHTC series and BioAsQ series).[\/one_half] <\/p>\n\n\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-266\" src=\"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/wp-content\/uploads\/2018\/07\/mesh.jpg\" alt=\"\" width=\"427\" height=\"275\"><\/p>\n\n\n\n<iframe loading=\"lazy\" src=\"https:\/\/deepai.org\/publication\/lshtc-a-benchmark-for-large-scale-text-classification\" width=\"600\" height=\"300\"><\/iframe>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Budgeted Learning<\/h3>\n\n\n\n<p>[one_half]&nbsp;Budget learning covers various topics. This project aimed at designing classifiers that are economic in the number of features that are required to produce a&nbsp; decision on an input data. [\/one_half] <\/p>\n\n\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-215 alignleft\" src=\"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/wp-content\/uploads\/2018\/07\/iconip.png\" alt=\"\" width=\"453\" height=\"127\"><\/p>\n\n\n\n<div id=\"pg-15-4\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-4-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-4-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"4\">\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div id=\"pg-15-5\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-5-1\" class=\"panel-grid-cell panel-grid-cell-empty\"><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Adversarial Learning For Animation<\/h3>\n\n\n\n<div class=\"textwidget\">\n<p>With Qi Wang.<\/p>\n<p>Funding : Chinese doctoral program CSC-ECM<\/p>\n<p>[one_half]We designed synthesis systems for generating motion capture data that matchs some high level&nbsp; features ( e.g. the emotion with which an motion is performed) using adversarial learning and recurrent neural nets.[\/one_half]<\/p><\/div>\n\n\n<p>[one_half_last]\n<\/p><\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-96 alignleft\" src=\"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/wp-content\/uploads\/2018\/07\/Modele3.2.png\" alt=\"\" width=\"284\" height=\"282\" \/><br \/>\n[\/one_half_last]<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Disentangling factors of variations<\/h3>\n\n\n\n<div id=\"pg-15-2\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-2-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-2-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"2\">\n<div class=\"textwidget\">With Mickael Chen and Ludovic Denoyer at LIP6, UPMC<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div id=\"pg-15-4\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-4-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-4-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"4\">\n<p>[one_half]Disentangling factors of variations aims at learning factors of variations from data. Once learned it allows changing the stye of an input data (e.g. viewpoint for image data) to the style of another image. We have applied such techniques, relying on adversarial learning on images and on motion capture sequences.[\/one_half]<\/p><\/div><\/div><\/div>\n\n\n<p>[one_half_last]<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-214 alignleft\" src=\"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/wp-content\/uploads\/2018\/07\/ChairsGMV.png\" alt=\"\" width=\"417\" height=\"216\"><\/p>\n<p>[\/one_half_last]<\/p>\n\n\n\n<div id=\"pg-15-6\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-6-0\" class=\"panel-grid-cell\">\n<div id=\"panel-15-6-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"6\">\n<div class=\"textwidget\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><\/h3>\n\n\n\n<div id=\"pg-15-7\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-7-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\"><\/div>\n<\/div>\n\n\n\n<div id=\"pg-15-8\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-8-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-8-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"8\">\n<h1 style=\"text-align: center;\"><\/h1>\n<hr>\n<h3 class=\"widget-title\">Deep Learning For High Energy Physics<\/h3>\n<div class=\"textwidget\">\n<p>With Ziyu Guo and Y. Coadou at&nbsp;<a href=\"https:\/\/www.cppm.in2p3.fr\/sommaire.php3?lang=fr\">CPPM<\/a><\/p>\n<p>Funding : Bourse Inter-ED \u00e0 AMU<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div><\/div>\n\n\n\n<div id=\"pg-15-10\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-10-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-10-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"11\"><hr>\n<h3 class=\"widget-title\">Mixing Deep Learning And Kernels<\/h3>\n<div class=\"textwidget\">\n<p>With Luc Giffon, St\u00e9phane Ayache, Hachem Kadri (LIS)<\/p>\n<p>Funding : ANR AAPG 2017 : Deep In France<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div id=\"pg-15-4\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-4-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-4-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"4\">\n<h3 class=\"widget-title\">Multiview Learning<\/h3>\n<div class=\"textwidget\">\n<p>With Mickael Chen (LIP6) and Ludovic Denoyer (Facebook)<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"pgc-15-4-1\" class=\"panel-grid-cell panel-grid-cell-empty\"><\/div>\n<\/div>\n\n\n\n<div id=\"pg-15-5\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-15-5-0\" class=\"panel-grid-cell panel-grid-cell-mobile-last\">\n<div id=\"panel-15-5-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"5\"><hr>\n<h3 class=\"widget-title\">Multisource Learning<\/h3>\n<div class=\"textwidget\">\n<p>With Qi Wang and Sylvain Takekart (INT)<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Main topics Statistical Machine Learning, Deep Learning, Neural Networks, Artificial Intelligence Current projects Deep Learning For Vocal Brain Analysis With Pascal Belin, Bruno Giordano and Sylvain Takerkart at INT Funding : Charly Lamothe&rsquo;s Ph.D with Pascal Belin&rsquo;ERC [one_third]The project aims at creating a map of the brain areas according to its processing level of input&hellip;<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-203","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=\/wp\/v2\/pages\/203","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=203"}],"version-history":[{"count":60,"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=\/wp\/v2\/pages\/203\/revisions"}],"predecessor-version":[{"id":1232,"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=\/wp\/v2\/pages\/203\/revisions\/1232"}],"wp:attachment":[{"href":"https:\/\/pageperso.lis-lab.fr\/thierry.artieres\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=203"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}