

{"id":199,"date":"2021-04-26T12:15:10","date_gmt":"2021-04-26T10:15:10","guid":{"rendered":"https:\/\/project.inria.fr\/aimlai\/?page_id=199"},"modified":"2024-09-23T17:28:19","modified_gmt":"2024-09-23T15:28:19","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/aimlai\/previous-editions\/aimlai-ecml-2021\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<p>All times are given in UTC+2.<\/p>\n<p><strong>9:00 &#8211; 9:10:<\/strong> Introduction by one of the workshop chairs<br \/>\n<strong>9:10 &#8211; 10:10:<\/strong> Keynote talk &#8220;Understanding Human-Centric Side of Deep Neural Networks&#8221; by <a href=\"http:\/\/bzhou.ie.cuhk.edu.hk\/\" target=\"_blank\" rel=\"noopener\">Bolei Zhou<\/a> (from the Chinese University of Hong Kong)<\/p>\n<p><strong>10:10 &#8211; 10:15:<\/strong> Introduction to session by one of the workshop chairs<br \/>\n<strong>10:15 &#8211; 10:35:<\/strong> <a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2021\/09\/Demystifying_GNN_Explanations.pdf\">Demystifying Graph Neural Network Explanations<\/a> (authors: Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl and Thomas Runkler)<br \/>\n<strong>10:35 &#8211; 10:55:<\/strong> <a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2021\/09\/AIMLAI_Talk_Transfering_Morphological_Analogies.pdf\">On the Transferability of Neural Models of Morphological Analogies<\/a> (authors: Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Miguel Couceiro and Pierre-Alexandre Murena)<\/p>\n<p><strong>10:55 &#8211; 11:25:<\/strong> Coffee break<\/p>\n<p><strong>11:25 &#8211; 11:30:<\/strong> Introduction to session by one of the workshop chairs<br \/>\n<strong>11-30 &#8211; 11:50:<\/strong> <a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2021\/09\/XAI_ECML-final.pdf\">Post-hoc counterfactual generation with supervised autoencoder<\/a> (authors: Victor Guyomard, Fran\u00e7oise Fessant, Tassadit Bouadi and Thomas Guyet)<br \/>\n<strong>11:50 &#8211; 12:10:<\/strong> Behavior of k-NN as an Instance-Based Explanation Method (authors: Chhavi Yadav and Kamalika Chaudhuri)<br \/>\n<strong>12:10 &#8211; 12:30:<\/strong> <a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2021\/09\/TS-MULE-Presentation.pdf\">TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models<\/a> (authors: Udo Schlegel, Duy Lam Vo, Daniel A. Keim and Daniel Seebacher)<br \/>\n<strong>12:30 &#8211; 12:40:<\/strong> <a href=\"https:\/\/project.inria.fr\/aimlai\/files\/2021\/09\/AIMLAI_4_presentation.pdf\">Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots<\/a> (authors: Andrew Yeh and Anhthy Ngo)<br \/>\n<strong>12:40 &#8211; 12:50:<\/strong> Enhancing Performance of Occlusion-based explanation Methods by a Hierarchical Search Method on Input Images (authors: Hamed Behzadi Khormouji and Habib Rostami)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>All times are given in UTC+2. 9:00 &#8211; 9:10: Introduction by one of the workshop chairs 9:10 &#8211; 10:10: Keynote talk &#8220;Understanding Human-Centric Side of Deep Neural Networks&#8221; by Bolei Zhou (from the Chinese University of Hong Kong) 10:10 &#8211; 10:15: Introduction to session by one of the workshop chairs\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/aimlai\/previous-editions\/aimlai-ecml-2021\/program\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1481,"featured_media":0,"parent":251,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-199","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/199","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=199"}],"version-history":[{"count":15,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/199\/revisions"}],"predecessor-version":[{"id":564,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/199\/revisions\/564"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/pages\/251"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/aimlai\/wp-json\/wp\/v2\/media?parent=199"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}