

{"id":79,"date":"2024-04-02T18:00:23","date_gmt":"2024-04-02T16:00:23","guid":{"rendered":"https:\/\/project.inria.fr\/sharp\/?p=79"},"modified":"2025-04-16T13:17:30","modified_gmt":"2025-04-16T11:17:30","slug":"upcoming-project-meeting","status":"publish","type":"post","link":"https:\/\/project.inria.fr\/sharp\/upcoming-project-meeting\/","title":{"rendered":"Project meeting &#8211; ISIR &#8211; July 4th 2024"},"content":{"rendered":"<p>A project meeting was held at ISIR (Paris) on July 4th 2024. The day was organized around several spotlight presentations as well as a tutorial.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Morning spotlights<ul><li>\u201cLearning to Simplify Large Computer Vision Problems\u201d [Loic Landrieu]<\/li><li>\u201cSegmenting Historical Maps with Modern Labels\u201d [Loic Landrieu]<\/li><li>\u201cUnderstanding diffusion models\u201d [David Picard]<\/li><li>\u201cEfficient kernel vector products for optimal transport\u201d [Titouan Vayer]<\/li><li>\u201cGradient Aligned, Projected Error (GRAPE)\u201d [Paul Caillon]<\/li><li>\u201cChacal : Chain and Causal attention for efficient entity tracking\u201d, [Erwan Fagnou]<\/li><\/ul><\/li><li>Introduction \/ tutorial on pyfaust (matrix compression via butterfly factorization) [Pascal Carrivain]<br><a rel=\"noreferrer noopener\" href=\"https:\/\/gitlab.inria.fr\/faustgrp\/faust\/-\/blob\/fast-deformable-butterfly\/notebooks\/fdb.ipynb\" target=\"_blank\">[notebook de pr\u00e9sentation de Fast-Deformable-Butterfly (<code>fdb()<\/code> dans pyfaust)]<\/a><\/li><li>Afternoon spotlights<ul><li>\u201cOperator Learning with Neural Fields: Tackling PDEs on General Geometries\u201d [Louis Serrano]<\/li><li>\u201cPhysics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning\u201d [Zakariae El Asri]<\/li><li>\u201cWhat Makes Multimodal In-Context Learning Work?\u201d [Folco Bertini]<\/li><\/ul><\/li><\/ul>","protected":false},"excerpt":{"rendered":"<p>A project meeting was held at ISIR (Paris) on July 4th 2024. The day was organized around several spotlight presentations as well as a tutorial. Morning spotlights \u201cLearning to Simplify Large Computer Vision Problems\u201d [Loic Landrieu] \u201cSegmenting Historical Maps with Modern Labels\u201d [Loic Landrieu] \u201cUnderstanding diffusion models\u201d [David Picard] \u201cEfficient\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/sharp\/upcoming-project-meeting\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1112,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-79","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/posts\/79","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/types\/post"}],"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=79"}],"version-history":[{"count":5,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/posts\/79\/revisions"}],"predecessor-version":[{"id":139,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/posts\/79\/revisions\/139"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/media?parent=79"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/categories?post=79"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/project.inria.fr\/sharp\/wp-json\/wp\/v2\/tags?post=79"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}