{"id":601,"date":"2020-02-12T12:58:51","date_gmt":"2020-02-12T11:58:51","guid":{"rendered":"https:\/\/iaaa.lis-lab.fr\/?p=601"},"modified":"2020-03-16T16:42:31","modified_gmt":"2020-03-16T15:42:31","slug":"rectificatif-soutenances-ue-communication-2eme-seance-du-jeudi-13-fevrier-2020-a-st-charles","status":"publish","type":"post","link":"https:\/\/iaaa.lis-lab.fr\/?p=601","title":{"rendered":"Rectificatif : Soutenances UE Communication (2\u00e8me S\u00e9ance Du Jeudi 13 F\u00e9vrier 2020 BATIMENT 7 \u00c0 St Charles)"},"content":{"rendered":"<h1>Planning modifi\u00e9 de la deuxi\u00e8me journ\u00e9e de soutenances de l&rsquo;UE Communication<\/h1>\n<h2>Important<\/h2>\n<ul>\n<li><strong>Envoyez vos slides par email<\/strong> \u00e0 Thierry Arti\u00e8res <strong>avant<\/strong> le d\u00e9but de la journ\u00e9e. <strong>Et venez avec vos slides<\/strong> sur une cl\u00e9 USB.<\/li>\n<li>La soutenance dure 12&prime; + 8&prime; de questions<\/li>\n<li>Les soutenances se d\u00e9rouleront \u00e0 St Charles en salle\u00a0CH01 <strong><span style=\"color: #993300;\">BATIMENT 7<\/span> <\/strong>St Charles\n<ul>\n<li>Voir plan du campus ===&gt;\u00a0<a href=\"https:\/\/ed184.lis-lab.fr\/lib\/exe\/fetch.php?media=plan_du_site_st_charles_02-12.pdf\">ici<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>Matin<\/h2>\n<table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col width=\"100\" \/>\n<col width=\"100\" \/>\n<col width=\"426\" \/>\n<col width=\"100\" \/><\/colgroup>\n<tbody>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Beggi&quot;}\">Beggi<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Valentin Emiya&quot;}\">Valentin Emiya<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;\u00c9tude du papier \\&quot;Energy and Policy Considerations for Deep Learning in NLP\\&quot;, Strubbel et al. ACL 2019 et mise en perspective avec les activit\u00e9s locales de recherche et d'enseignement.&quot;}\">\u00c9tude du papier \u00ab\u00a0Energy and Policy Considerations for Deep Learning in NLP\u00a0\u00bb, Strubbel et al. ACL 2019 et mise en perspective avec les activit\u00e9s locales de recherche et d&rsquo;enseignement.<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;9h00&quot;}\">9h00<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Gabiot &quot;}\">Gabiot<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Cyril Terrioux&quot;}\">Cyril Terrioux<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude du solveur PicatSAT&quot;}\">Etude du solveur PicatSAT<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;9h20&quot;}\">9h20<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Brient&quot;}\">Brient<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Thierry Arti\u00e8res&quot;}\">Thierry Arti\u00e8res<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Sujet \u00e0 d\u00e9finir&quot;}\">R\u00e9seaux de neurones pour donn\u00e9es tabulaires<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;9h40&quot;}\">9h40<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Timmerman&quot;}\">Timmerman<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Carlos Ramisch (remotely)&quot;}\">Carlos Ramisch (remotely)<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;\u00e9tude des biais (de genre) et m\u00e9thodes de \\&quot;debiasing\\&quot; dans les word embeddings&quot;}\">\u00e9tude des biais (de genre) et m\u00e9thodes de \u00ab\u00a0debiasing\u00a0\u00bb dans les word embeddings<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;10h&quot;}\">10h<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Jauffret&quot;}\">Jauffret<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Cyril Terrioux&quot;}\">Cyril Terrioux<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etat de l'art sur les explications en CSP \u00e0 partir de l'article \\&quot;Lazy Explanations for Constraint Propagators\\&quot; de Gent et al.&quot;}\">Etat de l&rsquo;art sur les explications en CSP \u00e0 partir de l&rsquo;article \u00ab\u00a0Lazy Explanations for Constraint Propagators\u00a0\u00bb de Gent et al.<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;10h30&quot;}\">10h30<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Saissi Hassani&quot;}\">Saissi Hassani<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Nicolas Prcovic&quot;}\">Nicolas Prcovic<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etat de l'art des contraintes ensemblistes et \u00e9tude de leur int\u00e9gration dans Choco Solver&quot;}\">Etat de l&rsquo;art des contraintes ensemblistes et \u00e9tude de leur int\u00e9gration dans Choco Solver<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;10h50&quot;}\">10h50<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;P\u00e9jout&quot;}\">P\u00e9jout<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Hachem Kadri&quot;}\">Hachem Kadri<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;Efficient Tree Decomposition of High-Rank Tensors\\&quot; (J. of Computational Physics, 2019)&quot;}\">Etude de l&rsquo;article \u00ab\u00a0Efficient Tree Decomposition of High-Rank Tensors\u00a0\u00bb (J. of Computational Physics, 2019)<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;11h10&quot;}\">11h10<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Noyelle&quot;}\">Noyelle<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Hachem Kadri &amp; \\nSt\u00e9phane Ayache&quot;}\">Hachem Kadri &amp;<br \/>\nSt\u00e9phane Ayache<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;A Riemannian Networkfor SPD Matrix Learning\\&quot; (AAAI, 2017) et prise en main du code (dispo sur github)&quot;}\">Etude de l&rsquo;article \u00ab\u00a0A Riemannian Networkfor SPD Matrix Learning\u00a0\u00bb (AAAI, 2017) et prise en main du code (dispo sur github)<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;11h30&quot;}\">11h30<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Pugnaire&quot;}\">Pugnaire<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Luc Giffon\\nStephane Ayache&quot;}\">Luc Giffon<br \/>\nStephane Ayache<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;And the Bit Goes Down: Revisiting the Quantization of Neural Networks\\&quot;. Pierre Stock, Armand Joulin, R\u00e9mi Gribonval, Benjamin Graham, Herv\u00e9 J\u00e9gou. Soumis \u00e0 ICLR\u201920 &quot;}\">Etude de l&rsquo;article \u00ab\u00a0And the Bit Goes Down: Revisiting the Quantization of Neural Networks\u00a0\u00bb. Pierre Stock, Armand Joulin, R\u00e9mi Gribonval, Benjamin Graham, Herv\u00e9 J\u00e9gou. Soumis \u00e0 ICLR\u201920<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;11h50&quot;}\">11h50<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2>Apr\u00e8s-midi<\/h2>\n<table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col width=\"100\" \/>\n<col width=\"100\" \/>\n<col width=\"426\" \/>\n<col width=\"100\" \/><\/colgroup>\n<tbody>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Rougette&quot;}\">Rougette<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Nicolas Prcovic&quot;}\">Nicolas Prcovic<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etat de l'art des contraintes sur les graphes et \u00e9tude de leur int\u00e9gration dans Choco Solver&quot;}\">Etat de l&rsquo;art des contraintes sur les graphes et \u00e9tude de leur int\u00e9gration dans Choco Solver<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;13h&quot;}\">13h<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Plocharski&quot;}\">Plocharski<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Thierry Arti\u00e8res&quot;}\">Thierry Arti\u00e8res<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Presentation de l'\u00e9tat de l'art sur l'\u00e9tude des representations apprises dans des mod\u00e8les recurrents&quot;}\">Pr\u00e9sentation de l&rsquo;\u00e9tat de l&rsquo;art sur l&rsquo;\u00e9tude des representations apprises dans des mod\u00e8les recurrents<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;13h20&quot;}\">13h20<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Pillu&quot;}\">Pillu<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Thierry Arti\u00e8res&quot;}\">Thierry Arti\u00e8res<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mesures de confiance dans les r\u00e9seaux de neurones&quot;}\">Mesures de confiance dans les r\u00e9seaux de neurones<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;13h40&quot;}\">13h40<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Ahmed&quot;}\">Ahmed<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Remi Eyraud&quot;}\">Remi Eyraud<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning\\&quot;&quot;}\">Etude de l&rsquo;article \u00ab\u00a0Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning\u00a0\u00bb<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;14h&quot;}\">14h<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Posocco&quot;}\">Posocco<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;ronan sicre&quot;}\">ronan sicre<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'\u00e9tat de l'art en interpretabilit\u00e9 des CNN&quot;}\">Etude de l&rsquo;\u00e9tat de l&rsquo;art en interpretabilit\u00e9 des CNN<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;14h20&quot;}\">14h20<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Inukai&quot;}\">Inukai<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Fran\u00e7ois-Xavier Dup\u00e9&quot;}\">Fran\u00e7ois-Xavier Dup\u00e9<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;How Powerful are Graph Neural Networks\\&quot; de Keyulu Xu, Weihua Hu, Jure Leskovec et Stefanie Jegelka. ICLR 2019. Autour de l'apprentissage de graphes avec des m\u00e9thodes de type deep learning.&quot;}\">Etude de l&rsquo;article \u00ab\u00a0How Powerful are Graph Neural Networks\u00a0\u00bb de Keyulu Xu, Weihua Hu, Jure Leskovec et Stefanie Jegelka. ICLR 2019. Autour de l&rsquo;apprentissage de graphes avec des m\u00e9thodes de type deep learning.<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;14h40&quot;}\">14h40<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mouchabac&quot;}\">Mouchabac<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Benoit Favre&quot;}\">Benoit Favre<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;\u00c9tude de l'article \\&quot;UNITER: Learning UNiversal Image-TExt Representations\\&quot;, \u00e9tat de l'art sur les t\u00e2ches pr\u00e9sent\u00e9es dans l'article ou r\u00e9impl\u00e9mentation&quot;}\">\u00c9tude de l&rsquo;article \u00ab\u00a0UNITER: Learning UNiversal Image-TExt Representations\u00a0\u00bb, \u00e9tat de l&rsquo;art sur les t\u00e2ches pr\u00e9sent\u00e9es dans l&rsquo;article ou r\u00e9impl\u00e9mentation<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;15h&quot;}\">15h<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Torba&quot;}\">Torba<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Stephane Ayache&quot;}\">Stephane Ayache<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;Meta-Transfer Learning for Few-Shot Learning\\&quot;. CVPR\u201919. Qianru Sun, Yaoyao Liu2, Tat-Seng Chua, Bernt Schiele.&quot;}\">Etude de l&rsquo;article \u00ab\u00a0Meta-Transfer Learning for Few-Shot Learning\u00a0\u00bb. CVPR\u201919. Qianru Sun, Yaoyao Liu2, Tat-Seng Chua, Bernt Schiele.<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;15h30&quot;}\">15h30<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Thomas&quot;}\">Thomas<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;ronan sicre&quot;}\">ronan sicre<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'\u00e9tat de l'art sur la classification d'images m\u00e9dicales&quot;}\">Etude de l&rsquo;\u00e9tat de l&rsquo;art sur la classification d&rsquo;images m\u00e9dicales<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;15h50&quot;}\">15h50<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mercui-Voyant&quot;}\">Mercui-Voyant<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Paolo Milanesi\\nStephane Ayache&quot;}\">Paolo Milanesi<br \/>\nStephane Ayache<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;Similarity-Preserving Knowledge Distillation\\&quot;. ICCV'19. Frederick Tung, Greg Mori. &quot;}\">Etude de l&rsquo;article \u00ab\u00a0Similarity-Preserving Knowledge Distillation\u00a0\u00bb. ICCV&rsquo;19. Frederick Tung, Greg Mori.<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;16h10&quot;}\">16h10<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Zhou&quot;}\">Zhou<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Fran\u00e7ois-Xavier Dup\u00e9&quot;}\">Fran\u00e7ois-Xavier Dup\u00e9<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;Learning Compositional Neural Programs with Recursive Tree Search and Planning\\&quot; de Thomas Pierrot, Guillaume Ligner, Scott Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir et Nando de Freitas. Article d'une \u00e9quipe de DeepMind autour des m\u00e9thodes de type alphazero.&quot;}\">Etude de l&rsquo;article \u00ab\u00a0Learning Compositional Neural Programs with Recursive Tree Search and Planning\u00a0\u00bb de Thomas Pierrot, Guillaume Ligner, Scott Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir et Nando de Freitas. Article d&rsquo;une \u00e9quipe de DeepMind autour des m\u00e9thodes de type alphazero.<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;16h30&quot;}\">16h30<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Morin&quot;}\">Morin<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Alexis Nasr&quot;}\">Alexis Nasr<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Etude de l'article \\&quot;Greedy Transition-Based Dependency Parsing with Stack LSTMs \\&quot;&quot;}\">Etude de l&rsquo;article \u00ab\u00a0Greedy Transition-Based Dependency Parsing with Stack LSTMs \u00ab\u00a0<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;16h50&quot;}\">16h50<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Planning modifi\u00e9 de la deuxi\u00e8me journ\u00e9e de soutenances de l&rsquo;UE Communication Important Envoyez vos slides par email \u00e0 Thierry Arti\u00e8res avant le d\u00e9but de la journ\u00e9e. Et venez avec vos slides sur une cl\u00e9 USB. La soutenance dure 12&prime; + 8&prime; de questions Les soutenances se d\u00e9rouleront \u00e0 St Charles en salle\u00a0CH01 BATIMENT 7 St&hellip;<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[],"class_list":["post-601","post","type-post","status-publish","format-standard","hentry","category-la-vie-du-master"],"_links":{"self":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/posts\/601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=601"}],"version-history":[{"count":3,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/posts\/601\/revisions"}],"predecessor-version":[{"id":609,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/posts\/601\/revisions\/609"}],"wp:attachment":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}