{"id":10488,"date":"2024-04-05T16:35:38","date_gmt":"2024-04-05T14:35:38","guid":{"rendered":"https:\/\/www.isir.upmc.fr\/?page_id=10488"},"modified":"2025-02-04T11:25:42","modified_gmt":"2025-02-04T10:25:42","slug":"presentation-mlia","status":"publish","type":"page","link":"https:\/\/www.isir.upmc.fr\/teams\/mlia\/presentation-mlia\/?lang=en","title":{"rendered":"Presentation"},"content":{"rendered":"\n<p class=\"has-drop-cap wp-block-paragraph\">The bulk of MLIA&rsquo;s research has centered on machine learning. MLIA has played a significant role in advancing deep learning and neural networks in France, establishing itself as a pioneering group in the field. Over the past 15 years, the team has explored deep learning across various domains, with a primary emphasis on Computer Vision, Natural Language Processing, and Physics-based Deep Learning. Recently, MLIA has expanded its research portfolio to include Machine Learning for Robotics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Scientific positioning<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Research theme: <\/strong>Algorithmic aspects of machine learning.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Fields of interest:<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Language processing,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Artificial vision,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Modeling of physical processes,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Statistical learning for robotics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Scientific challenges:<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Foundation models,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Frugality,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Dynamic systems,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; Robustness\/explicability.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Scientific contact:<\/strong> <a href=\"https:\/\/www.isir.upmc.fr\/personnel\/cord\/?lang=en\" target=\"_blank\" rel=\"noreferrer noopener\">Matthieu Cord<\/a>, MLIA team manager<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The bulk of MLIA&rsquo;s research has centered on machine learning. MLIA has played a significant role in advancing deep learning and neural networks in France, establishing itself as a pioneering group in the field. Over the past 15 years, the team has explored deep learning across various domains, with a primary emphasis on Computer Vision, [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":7232,"parent":7322,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-10488","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/10488","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/comments?post=10488"}],"version-history":[{"count":20,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/10488\/revisions"}],"predecessor-version":[{"id":11631,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/10488\/revisions\/11631"}],"up":[{"embeddable":true,"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/pages\/7322"}],"wp:attachment":[{"href":"https:\/\/www.isir.upmc.fr\/wp-json\/wp\/v2\/media?parent=10488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}