{"id":699,"date":"2021-10-29T16:51:18","date_gmt":"2021-10-29T14:51:18","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?p=699"},"modified":"2022-09-15T15:17:23","modified_gmt":"2022-09-15T13:17:23","slug":"prairie-paris-ai-research-institute-workshop","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/prairie-paris-ai-research-institute-workshop\/","title":{"rendered":"PR[AI]RIE (PaRis AI Research InstitutE) Workshop"},"content":{"rendered":"

[et_pb_section bb_built=”1″ next_background_color=”#000000″ inner_width=”auto” inner_max_width=”none”][et_pb_row][et_pb_column type=”3_4″][et_pb_text admin_label=”Intro” _builder_version=”3.22.1″ module_id=”intro” text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=”link_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=”ul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=”ol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=”quote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=”header_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=”header_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ z_index_tablet=”500″]<\/p>\n

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The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018. Its 2021 Workshop will be on November 10th.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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This workshop will be held on November 10th at Universit\u00e9 Paris-Dauphine PSL (Place du Mar\u00e9chal de Lattre de Tassigny, 75016 Paris), in room Raymond Aron. Please register<\/a> to attend.<\/p>\n

PROGRAMME<\/h2>\n

Abstracts<\/a><\/p>\n

08:50-09:00 OPENING
Jean Ponce<\/strong> and Isabelle Ryl<\/strong><\/p>\n

09:00-10:40 \/ SESSION I<\/h3>\n

09:00-09:20 Francis Bach<\/strong> (Inria, PRAIRIE), \u201cKernel sums of squares for optimization and beyond\u201d<\/p>\n

09:20-09:40 Aymeric Dieuleveut<\/strong> (Ecole Polytechnique, Hi! Paris), \u201cFederated Learning with compression\u201d<\/p>\n

09:40-10:00 Gabriel Peyr\u00e9<\/strong> (ENS-PSL, PRAIRIE), \u201cScaling optimal transport for high-dimensional Learning\u201d<\/p>\n

10:00-10:20 Edouard Oyallon<\/strong> (CNRS, SCAI), \u201cLearning is boring: image classification with patches\u201d<\/p>\n

10:20-10:40 Rachel Bawden<\/strong> (Inria, PRAIRIE), \u201cHandling Variation in Text with Machine Translation\u201d<\/p>\n

10:40-11:00 Coffee break<\/p>\n

11:00-12:40 \/ SESSION II<\/h3>\n

11:00-11:20 Thierry Poibeau<\/strong> (CNRS & ENS-PSL), \u201cPoetry generation, around Oupoco\u201d<\/p>\n

11:20-11:40 Martial Hebert<\/strong> (Carnegie-Mellon University), \u201cRobust AI\u201d<\/p>\n

11:40-12:00 Justin Carpentier<\/strong> (Inria, PRAIRIE), \u201cRobotics \u2013 What should be really learned?\u201d<\/p>\n

12:00-12:20 Rapha\u00ebl Porcher<\/strong> (Universit\u00e9 Paris Cit\u00e9, PRAIRIE), \u201cStochastic implementation of individualized treatment rules\u201d<\/p>\n

12:20-12:40 Nicholas Ayache<\/strong> (Inria, 3IA C\u00f4te-d\u2019Azur, \u201cAI for medical imaging \u2013 The role of models\u201d<\/p>\n

12:40-14:10 Lunch and posters<\/p>\n

14:10-15:50 \/ SESSION III<\/h3>\n

14:10-14:30 Alexandre Gramfort<\/strong> (Inria, DATAIA), \u201cBridging the gap between neurosciences and machine learning\u201d<\/p>\n

14:30-14:50 Laura Cantini<\/strong> (CNRS, IBENS-ENS-PSL, PRAIRIE), \u201cSingle-cell multi-modal data integration\u201d<\/p>\n

14:50-15:10 Jean-Baptiste Masson<\/strong> (Institut Pasteur, PRAIRIE), \u201cPhysics-informed Bayesian learning: from random walks to fetus morphology\u201d<\/p>\n

15:10-15:30 Umut Simsekli<\/strong> (Inria, PRAIRIE), \u201cTowards building a heavy-tailed theory of stochastic gradient descent for deep neural networks\u201d<\/p>\n

15:30-15:50 Julien Mairal<\/strong> (Inria, MIAI), \u201cLucas-Kanade reloaded: End-to-end super-resolution from raw image bursts\u201d<\/p>\n

15:50-16:10 Coffee break<\/p>\n

16:10-17:30 \/ SESSION IV<\/h3>\n

16:10-16:30 Cordelia Schmid<\/strong> (Inria, PRAIRIE), \u201cDo you see what I see? Large-scale learning from multimodal videos\u201d<\/p>\n

16:30-16:50 J\u00e9r\u00f4me Lang<\/strong> (Dauphine-PSL, PRAIRIE), \u201cAI for collective decision making\u201d<\/p>\n

16:50-17:10 J\u00e9r\u00f4me Bolte<\/strong> (TSE School of Economics, ANITI), \u201cConservative calculus: a variational calculus for nonsmooth algorithmic differentiation\u201d<\/p>\n

17:10-17:30 Cl\u00e9ment Roye<\/strong>r (Dauphine-PSL, PRAIRIE), \u201cBlack-box optimization based on probabilistic properties\u201d<\/p>\n

17:30-18:00 \/ KEYNOTE AND CLOSURE<\/h3>\n

Yann LeCun<\/strong> (New York University and Facebook AI Research), \u201cThe future is self-supervised\u201d<\/p>\n

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Read more<\/h2>\n

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<\/div>\n

The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018. Its 2021 Workshop will be on November 10th. <\/p>\n

<\/div>\n
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This workshop will be held on November… Lire la suite PR[AI]RIE (PaRis AI Research InstitutE) Workshop<\/span><\/a><\/p>\n","protected":false},"author":360,"featured_media":703,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[20],"tags":[],"class_list":["post-699","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-other-news"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/699","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/360"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=699"}],"version-history":[{"count":4,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/699\/revisions"}],"predecessor-version":[{"id":940,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/699\/revisions\/940"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/703"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=699"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=699"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}