{"id":122,"date":"2019-03-26T00:19:02","date_gmt":"2019-03-25T23:19:02","guid":{"rendered":"https:\/\/project.inria.fr\/aimlai\/?page_id=122"},"modified":"2021-04-26T12:13:58","modified_gmt":"2021-04-26T10:13:58","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/aimlai\/previous-editions\/aimlaicikm-2020\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<p>All times are given in BST (British Summer Time).<\/p>\n<h2>October 19th<\/h2>\n<ul>\n<li>(15:00) <a href=\"https:\/\/docs.google.com\/presentation\/d\/12UadKKfbjsxIGAy6tFrzrc0zj9y_cIVJ1tXb7RSkF-U\/edit?usp=sharing\">Welcome and introduction<\/a><\/li>\n<li>(15:10) First keynote talk by <a href=\"http:\/\/iphome.hhi.de\/samek\/\">Wojciech Samek<\/a> [<a href=\"http:\/\/heatmapping.org\/slides\/2020_AIMLAI.pdf\">Slides<\/a>]<\/li>\n<li>(16:10) Break<\/li>\n<li>(16:40) First session of presentations\n<ul>\n<li>(16:40) LatentViz: Investigating and Comparing Variational Auto-Encoders via Their Latent Space<\/li>\n<li>(17:00) OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2020\/10\/OptiLIME.pdf\">Slides<\/a>]<\/li>\n<li>(17:20) [Invited talk] Fooling Neural Network Interpretations via Adversarial Model Manipulation (by <a href=\"https:\/\/sites.google.com\/view\/juyeonheo\/%ED%99%88?authuser=0\">Juyeon Heo<\/a>) [<a href=\"https:\/\/drive.google.com\/file\/d\/1YDzmOOiAebFzshRgSJJzrLjyVhgIie4x\/view\">Slides<\/a>]<\/li>\n<\/ul>\n<\/li>\n<li>(17:40) Discussion Panel<\/li>\n<\/ul>\n<h2>October 20th<\/h2>\n<ul>\n<li>(15:00) Second session of presentations\n<ul>\n<li>(15:00) Now You See Me (CME): Concept-based Model Extraction [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2020\/11\/AIMLAI_Talk_Dmitry_Kazhdan.pdf\">Slides<\/a>]<\/li>\n<li>(15:20) Guided LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models<\/li>\n<li>(15:40) [Invited talk] A Comparison of Counterfactual Algorithms for Explaining Prediction Models on Behavioral and Textual Data (by <a href=\"http:\/\/yanouramon.com\/\" target=\"_blank\" rel=\"noopener\">Yanou Ramon<\/a>) [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2020\/10\/AIMLAI_YR_Oct2020.pdf\">Slides<\/a>]<\/li>\n<\/ul>\n<\/li>\n<li>(16:00) Break<\/li>\n<li>(16:30) Second keynote by <a href=\"https:\/\/users.cs.duke.edu\/~cynthia\/\" target=\"_blank\" rel=\"noopener\">Cynthia Rudin<\/a> [<a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2020\/10\/InterpExtremes.pdf\">Slides<\/a>] [<a href=\"https:\/\/mybox.inria.fr\/f\/c6e026775669441aac80\/\">Recording<\/a>]<\/li>\n<li>(17:30) Feedback from workshop participants and conclusion<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>All times are given in BST (British Summer Time). October 19th (15:00) Welcome and introduction (15:10) First keynote talk by Wojciech Samek [Slides] (16:10) Break (16:40) First session of presentations (16:40) LatentViz: Investigating and Comparing Variational Auto-Encoders via Their Latent Space (17:00) OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/aimlai\/previous-editions\/aimlaicikm-2020\/program\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1479,"featured_media":0,"parent":195,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-122","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/122","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\/1479"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/comments?post=122"}],"version-history":[{"count":22,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/122\/revisions"}],"predecessor-version":[{"id":193,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/122\/revisions\/193"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/195"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/media?parent=122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}