{"id":52,"date":"2023-03-24T18:40:49","date_gmt":"2023-03-24T18:40:49","guid":{"rendered":"https:\/\/hupba.com\/?page_id=52"},"modified":"2023-04-17T13:18:57","modified_gmt":"2023-04-17T13:18:57","slug":"seminar-in-theoretical-deep-learning","status":"publish","type":"page","link":"https:\/\/hupba.com\/index.php\/events\/seminar-in-theoretical-deep-learning\/","title":{"rendered":"Reading group in theoretical deep learning"},"content":{"rendered":"\n<p>This is the main page of the reading group in theoretical deep learning coorganised by Manuel Lecha S\u00e1nchez and Rub\u00e9n Ballester Bautista. We meet each two weeks at <a href=\"https:\/\/mat.ub.edu\/en\/\" data-type=\"URL\" data-id=\"https:\/\/mat.ub.edu\/en\/\">Universitat de Barcelona<\/a> to discuss relevant topics in theoretical deep learning from a mathematic point of view.  <\/p>\n\n<h3>Forthcoming sessions<\/h3>\n<hr \/>\n<h4>Introduction to neural networks<\/h4>\n<p><strong>\nAssociated article: Generalization in Deep Learning <br>\nAuthors: Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio <br> \nLink: <a href=\"https:\/\/arxiv.org\/abs\/1710.05468\">https:\/\/arxiv.org\/abs\/1710.05468<\/a> <br> \nSpeaker: Rub\u00e9n Ballester Bautista <br>\nDate: 20\/04\/2023<\/strong><\/p>\n<hr \/>\n<h4>Geometric priors on Deep Weight spaces<\/h4>\n<p><strong>\nAssociated article: Equivariant Architectures for Learning in Deep Weight Spaces <br>\nAuthors: Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron <br>\nLink: <a href=\"https:\/\/arxiv.org\/abs\/2301.12780\">https:\/\/arxiv.org\/abs\/2301.12780<\/a> <br>\nSpeaker: Manuel Lecha S\u00e1nchez <br>\nDate: 04\/05\/2023<\/strong><\/p>\n<h3>Previous sessions<\/h3>\n<hr \/>\n\n<ul class=\"wp-block-list\">\n<li>Nothing here yet.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>This is the main page of the reading group in theoretical deep learning coorganised by Manuel Lecha S\u00e1nchez and Rub\u00e9n Ballester Bautista. We meet each two weeks at Universitat de Barcelona to discuss relevant topics in theoretical deep learning from a mathematic point of view. Forthcoming sessions Introduction to neural networks Associated article: Generalization in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":68,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-52","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/pages\/52","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/comments?post=52"}],"version-history":[{"count":6,"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/pages\/52\/revisions"}],"predecessor-version":[{"id":154,"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/pages\/52\/revisions\/154"}],"up":[{"embeddable":true,"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/pages\/68"}],"wp:attachment":[{"href":"https:\/\/hupba.com\/index.php\/wp-json\/wp\/v2\/media?parent=52"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}