{"id":680,"date":"2022-07-03T16:26:32","date_gmt":"2022-07-03T16:26:32","guid":{"rendered":"http:\/\/lptms.u-psud.fr\/clelia-de-mulatier\/?page_id=680"},"modified":"2026-06-08T21:36:17","modified_gmt":"2026-06-08T21:36:17","slug":"research","status":"publish","type":"page","link":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/research\/","title":{"rendered":"Group"},"content":{"rendered":"<p><span style=\"font-size: medium\"><strong>Current Main Research focus<\/strong><\/span><\/p>\n<p style=\"padding: 0px 22px 0px\">One of the current main focuses of the group is on the development of <strong>new tools<\/strong> to uncover and model <strong>high order patterns of data<\/strong>.<\/p>\n<p><a href=\"http:\/\/lptms.u-psud.fr\/clelia-de-mulatier\/files\/2021\/07\/Picture_PhD-1.pdf\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" style=\"float: right\" src=\"http:\/\/lptms.u-psud.fr\/clelia-de-mulatier\/files\/2022\/07\/Picture_MCM.png\" width=\"301\" height=\"153\" border=\"0\" \/><\/a><\/p>\n<p style=\"padding: 0px 22px 0px\"><strong>Highlight:<\/strong> Check our paper on the use of Minimally Complex spin Models (MCM) to identify and model groups of highly correlated variables in binary data: <a href=\"https:\/\/arxiv.org\/abs\/2008.00520\" target=\"_blank\" rel=\"no noopener opener\">here<\/a>.<\/p>\n<p style=\"padding: 0px 22px 0px\">The procedure performs exact Bayesian model selection and takes into account all possible high order patterns of data (3-body correlations, 4-body correlations, etc.) in the detection of these \u00ab\u00a0communities\u00a0\u00bb of variables. The use of Minimally Complex Models provides robust predictions on dependencies between variables.<\/p>\n<ul>\n<strong>Codes:<\/strong> You can find our codes that performs this \u00ab\u00a0high-order community detection\u00a0\u00bb for binary data on Github:<br \/>\n&nbsp;&nbsp;&nbsp;&nbsp;&#8212; <a href=\"https:\/\/github.com\/clelidm\/MinCompSpin\" target=\"_blank\" rel=\"no opener noopener\">MinCompSpin<\/a> performs an exhaustive search and works best for systems with a small number of variables (&lt;= 15).<br \/>\n&nbsp;&nbsp;&nbsp;&nbsp;&#8212; <a href=\"https:\/\/github.com\/clelidm\/MinCompSpin_Greedy\" target=\"_blank\" rel=\"no opener noopener\">MinCompSpin_Greedy<\/a> performs a greedy search and works best for systems with a large number of variables (up to 128 variables).<\/ul>\n<ul>\n<strong>Python Package:<\/strong> Our Python package to analyze discrete data with minimally complex models:<br \/>\n&nbsp;&nbsp;&nbsp;&nbsp;&#8212; <a href=\"https:\/\/github.com\/DM-Lab-UvA\/MinCompSpin\" target=\"_blank\" rel=\"no opener noopener\"><strong>MinCompSpin<\/strong><\/a>, for discrete datasets with variables that can take up to 10 values, for up to 128 variables.\n<\/ul>\n<p>&nbsp;<br \/>\n<span style=\"font-size: medium\"><strong>Current group members<\/strong><\/span><\/p>\n<ul>\n<strong>PhD students:<\/strong> Merijn Moody (co-supervised with Jo Ellis-Monaghan and Patrick Forr\u00e9)<\/p>\n<p><strong>Collaborations:<\/strong><br \/>\n   Emanuele Agrimi, PhD student at IMT Lucca with Tommaso Gili and Tiziano Squartini<br \/>\n   Maxim Zewe, PhD student at SISSA with Domenica Bueti and Eugenio Piasini<br \/>\n   Carlo Orientale Caputo, PhD student at SISSA with Eugenio Piasini<\/p>\n<p><strong>Master students:<\/strong><\/p>\n<ul>\n<strong>&#8212; Physics:<\/strong>  Elfatih Idris<br \/>\n<strong>&#8212; Physics of complex systems:<\/strong> Jorge Gonzalez Larragoiti (collaboration with Linda Douw)<br \/>\n<strong>&#8212; Mathematics:<\/strong>  Khaled Tamimy<br \/>\n<strong>&#8212; Computational Science:<\/strong> Job Marcelis (collaboration with Greg Stephens), Wessel Beumer <\/ul>\n<\/ul>\n<ul>\n<strong>Master students graduated:<\/strong><\/p>\n<ul>\n<strong>&#8212; Theoretical Physics:<\/strong>  Jair Lenssen, Karel Geraedts, Sietse Verbeek, Matteo Sokratis Lioumis<br \/>\n<strong>&#8212; Computational Science:<\/strong>  Sam Kamphof, Marije Dekker, Karim Semin, Maria Iosif, Aaron De Clercq, Paul Hosek, Lotte Wolfenter, &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Myl\u00e8ne van der Maas, Karel Geraedts, Jonas Argelo<br \/>\n<strong>&#8212; Theoretical physics and Neuroscience:<\/strong> Martijn Klop (Utrecht University) <\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<span style=\"font-size: medium\"><strong>Open positions<\/strong><\/span><\/p>\n<ul>\nDon&rsquo;t hesitate to contact me by email to ask about possible open positions or Master projects.<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Current Main Research focus One of the current main focuses of the group is on the development of new tools to uncover and model high order patterns of data. Highlight: Check our paper on the use of Minimally Complex spin &hellip; <a href=\"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/research\/\">Continuer la lecture <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":37,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-680","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/pages\/680","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/comments?post=680"}],"version-history":[{"count":51,"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/pages\/680\/revisions"}],"predecessor-version":[{"id":1058,"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/pages\/680\/revisions\/1058"}],"wp:attachment":[{"href":"https:\/\/www.lptms.universite-paris-saclay.fr\/clelia-de-mulatier\/wp-json\/wp\/v2\/media?parent=680"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}