{"id":7827,"date":"2022-01-09T23:20:13","date_gmt":"2022-01-09T22:20:13","guid":{"rendered":"http:\/\/www.diitet.cnr.it\/?p=7827"},"modified":"2022-01-09T23:23:08","modified_gmt":"2022-01-09T22:23:08","slug":"aim-seminars-2022","status":"publish","type":"post","link":"https:\/\/www.diitet.cnr.it\/en\/aim-seminars-2022\/","title":{"rendered":"AIM Seminars 2022"},"content":{"rendered":"

<\/p>\n

\n

Istituto per le Applicazioni del Calcolo “M. Picone”
\nConsiglio Nazionale delle Ricerche<\/p>\n

AIM Seminars 2022<\/strong><\/p>\n<\/div>\n

Online Seminars on Artificial Intelligence and Mathematics<\/div>\n
to foster collaboration among researchers of heterogeneous fields.<\/div>\n
Organizers: Italia De Feis and Flavio Lombardi (Cnr-Iac)<\/div>\n
\n

https:\/\/www.aim.iac.cnr.it\/home<\/a><\/p>\n

Wednesday January 12th, 2022 – 2:30 pm
\nThe Modern Mathematics of Deep Learning
\nGitta Kutyniok
\nMathematisches Institut Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen<\/p>\n<\/div>\n

\n

Link Youtube:\u00a0https:\/\/www.youtube.com\/watch?v=bCQpfpYuYW8<\/a><\/p>\n

Despite the outstanding success of deep neural networks in real-world applications, ranging from science to public life, most of the related research is empirically driven and a comprehensive mathematical foundation is still missing. At the same time, these methods have already shown their impressive potential in mathematical research areas such as imaging sciences, inverse problems, or numerical analysis of partial differential equations, sometimes by far outperforming classical mathematical approaches for particular problem classes.
\nThe goal of this lecture is to first provide an introduction into this new vibrant research area. We will then survey recent advances in two directions, namely the development of a mathematical foundation of deep learning and the introduction of novel deep learning-based approaches to solve inverse problems and partial differential equations.<\/p>\n<\/div>\n

<\/div>\n
For more info about these seminars:\u00a0https:\/\/www.aim.iac.cnr.it\/home<\/a><\/div>\n
Seminar activity partially supported by TAILOR, an EU-funded ICT-48 Network (GA 952215)<\/div>\n

<\/p>","protected":false},"excerpt":{"rendered":"

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Picone” Consiglio Nazionale delle Ricerche AIM Seminars 2022 Online Seminars on Artificial Intelligence and Mathematics to foster collaboration among researchers of heterogeneous fields. 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