

{"id":369,"date":"2023-04-23T11:14:23","date_gmt":"2023-04-23T09:14:23","guid":{"rendered":"https:\/\/project.inria.fr\/aimlai\/?page_id=369"},"modified":"2024-04-03T17:32:01","modified_gmt":"2024-04-03T15:32:01","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/aimlai\/previous-editions\/aimlaiecml-2023\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<p>All times are given in UTC+2. The program spans two days: Monday morning, September 18th, and Friday morning, September 22nd.<\/p>\n<p><strong>Monday Morning (PoliTo Room 12i):<\/strong><br \/>\n<strong>9:00am &#8211; 9:15am<\/strong>: Welcome and introduction<br \/>\n<strong>9:15am &#8211; 10:30am<\/strong>: Invited talk by Mihaela van der Schaar, Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Fellow at The Alan Turing Institute in London<br \/>\n<strong>Title of the talk:<\/strong> Turning the lights on inside the black box: New frontiers in machine learning &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;interpretability from time-series to causal inference to unsupervised learning<br \/>\n<strong>10:30am &#8211; 11:00am<\/strong>: First session of presentations<br \/>\n&#8211; <strong>10:30<\/strong><strong>am<\/strong>: An Efficient Shapley Value Computation for the Naive Bayes Classifier [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/PresentationArticleShapley.pdf\">Slides<\/a>] [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/aimlai_shapley_bayes.pdf\">Paper<\/a>]<br \/>\n&#8211; <strong>10:45am<\/strong>: Predicate-based explanation of a Reinforcement Learning agent via action importance evaluation [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/aimlai2023-presentation-paper9.pdf\">Slides<\/a>] [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/HXP_paper_for_AIMLAI_Workshop___Camera_Ready.pdf\">Paper<\/a>]<br \/>\n<strong>11:00am &#8211; 11:30am<\/strong>: Coffee break<br \/>\n<strong>11:30am &#8211; 12:30pm<\/strong>: Second session of presentations<br \/>\n&#8211; <strong>11:30am<\/strong>: Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/10\/471_AIMLAI-2023-presentation_final.pdf\">Slides<\/a>] [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/10\/2_AIMLAI2023_paper.pdf\">Paper<\/a>]<br \/>\n&#8211; <strong>11:45am<\/strong>: An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision<br \/>\n&#8211; <strong>12:00pm<\/strong>: Natively Interpretable t-SNE [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/aimlai2023_talk_interpretable_tsne.pdf\">Slides<\/a>] [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/natively_interpretable_tsne.pdf\">Paper<\/a>]<br \/>\n<strong>12:15pm<\/strong>: Feedback from workshop participants<\/p>\n<p><strong>Friday Morning (PoliTo Room 8i):<\/strong><br \/>\n<strong>9:00am &#8211; 11:00am<\/strong>: Introduction and Tutorial on <a href=\"https:\/\/drive.google.com\/file\/d\/1ItLOrxbC5SkP2BF4kkc_m7R55GMmkNfd\/view?usp=drive_link\"><strong>Explainable Graph ML<\/strong><\/a>: Part 1<br \/>\n<strong>11:00am &#8211; 11:15am<\/strong>: Coffee break<br \/>\n<strong>11:15am &#8211; 12:00pm<\/strong>: Tutorial: Part 2<br \/>\n<strong>12:00pm &#8211; 12:15pm<\/strong>: Feedback and discussion<br \/>\n<strong>12:15pm &#8211; 13:00pm<\/strong>: Third session of presentations<br \/>\n&#8211; <strong>12:15pm<\/strong>: On the Adaptability of Attention-Based Interpretability in Different Transformer Architectures for Multi-Class Classification Tasks [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/OptimusPrimeExtension.pdf\">Slides<\/a>] [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/AIMLAI_Opt_Ext.pdf\">Paper<\/a>]<br \/>\n&#8211; <strong>12:30pm<\/strong>: Analyzing the Explanation and Interpretation Potential of Matrix Capsule Networks [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/ECAI_AMLIACapsNetENrouting.pdf\">Slides<\/a>] [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/AIMLAI_ECML_PKDD23_EMCapsNetRepAnalysis.pdf\">Paper<\/a>]<br \/>\n&#8211; <strong>12:45pm<\/strong>: Local interpretability of random forests for multi-target regression [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/XMTR_AIMLAI.pdf\">Slides<\/a>] [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2023\/09\/AIMLAI_XMTR.pdf\">Paper<\/a>]<br \/>\n<strong>13:00pm<\/strong>: Closing<\/p>\n","protected":false},"excerpt":{"rendered":"<p>All times are given in UTC+2. The program spans two days: Monday morning, September 18th, and Friday morning, September 22nd. Monday Morning (PoliTo Room 12i): 9:00am &#8211; 9:15am: Welcome and introduction 9:15am &#8211; 10:30am: Invited talk by Mihaela van der Schaar, Professor of Machine Learning, Artificial Intelligence and Medicine at\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/aimlai\/previous-editions\/aimlaiecml-2023\/program\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1481,"featured_media":0,"parent":498,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-369","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/369","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/users\/1481"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/comments?post=369"}],"version-history":[{"count":28,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/369\/revisions"}],"predecessor-version":[{"id":516,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/369\/revisions\/516"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/498"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/media?parent=369"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}