{"id":64,"date":"2024-04-02T17:47:59","date_gmt":"2024-04-02T15:47:59","guid":{"rendered":"https:\/\/project.inria.fr\/sharp\/?page_id=64"},"modified":"2024-04-05T08:49:32","modified_gmt":"2024-04-05T06:49:32","slug":"partners","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/sharp\/partners\/","title":{"rendered":"Partners"},"content":{"rendered":"<p>The teams \/ labs (and their representatives) involved in the SHARP consortium are:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"http:\/\/team.inria.fr\/ockham\" data-type=\"URL\" data-id=\"team.inria.fr\/ockham\">Ockham team<\/a> at LIP (ENS de Lyon, Univ. Claude Bernard Lyon 1, CNRS, Inria) &#8211; coordinator <a href=\"https:\/\/people.irisa.fr\/Remi.Gribonval\/\">R\u00e9mi Gribonval<\/a> <ul><li>Sparsity, sketching, statistical learning theory, information theory, mathematics of deep learning<\/li><\/ul><\/li><li><a href=\"https:\/\/www.lamsade.dauphine.fr\/wp\/miles\/\">Miles project-team<\/a> at LAMSADE (Paris-Dauphine and PSL University, CNRS) &#8211;  <a href=\"https:\/\/allauzen.github.io\/\">Alexandre Allauzen<\/a><ul><li>Deep learning for natural language and speech processing<\/li><\/ul><\/li><li><a href=\"https:\/\/imagine-lab.enpc.fr\/\" data-type=\"URL\" data-id=\"https:\/\/imagine-lab.enpc.fr\/\">Imagine team<\/a> at LIGM (\u00c9cole des Ponts ParisTech, Univ Gustave Eiffel, CNRS) &#8211; <a href=\"https:\/\/loiclandrieu.com\/\">Lo\u00efc Landrieu<\/a> and Mathieu Aubry<ul><li>Representation learning for computer vision<\/li><\/ul><\/li><li>GENESIS (Inria &amp; University College London) &#8211; <a href=\"https:\/\/bguedj.github.io\/\">Benjamin Guedj<\/a><ul><li>Statistical learning theory, PAC-Bayes, mathematics of deep learning, representation learning<\/li><\/ul><\/li><li><a href=\"https:\/\/team.inria.fr\/sirocco\/fr\/\">SIROCCO team<\/a> at IRISA (CNRS, Univ Rennes, Inria, INSA) &#8211; <a href=\"https:\/\/nkeriven.github.io\/\">Nicolas Keriven<\/a><ul><li><em>Sketched learning, graph neural networks, statistical learning on graphs, optimal transport<\/em><\/li><\/ul><\/li><li><a href=\"https:\/\/list.cea.fr\/en\/\">List<\/a> (Universit\u00e9 Paris Saclay, CEA) &#8211; <a href=\"https:\/\/hleborgne.github.io\/\">Herv\u00e9 Le Borgne<\/a><ul><li>Visual and textual content analysis, zero-shot learning, control of generative models<\/li><\/ul><\/li><li><a href=\"https:\/\/www.isir.upmc.fr\/equipes\/mlia\/\">MLIA team<\/a> at ISIR (Sorbonne University, CNRS) &#8211; <a href=\"https:\/\/thome.isir.upmc.fr\/\">Nicolas Thome<\/a> and Edouard Oyallon<ul><li>Statistical signal processing applied to distributed learning and deep learning<\/li><\/ul><\/li><\/ul>","protected":false},"excerpt":{"rendered":"<p>The teams \/ labs (and their representatives) involved in the SHARP consortium are: Ockham team at LIP (ENS de Lyon, Univ. Claude Bernard Lyon 1, CNRS, Inria) &#8211; coordinator R\u00e9mi Gribonval Sparsity, sketching, statistical learning theory, information theory, mathematics of deep learning Miles project-team at LAMSADE (Paris-Dauphine and PSL University,\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/sharp\/partners\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1112,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-64","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/pages\/64","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/users\/1112"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/comments?post=64"}],"version-history":[{"count":5,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/pages\/64\/revisions"}],"predecessor-version":[{"id":114,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/pages\/64\/revisions\/114"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/media?parent=64"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}