La conférence MATH & IA, organisée par la FMJH et FSMP sous l'égide du DIM MATH INNOV, avec le soutien de nombreux partenaires, a eu lieu mardi 9 mars 2021.
Les vidéos des exposés et de la table ronde seront mises en ligne dès que possible sur ce site.
The MATH & AI conference, organised by the FMJH and FSMP as a DIM MATH INNOV action, with the support of many partners, took place on Tuesday 9 March 2021.
The videos of the talks and the round table will be put online as soon as possible on this website
- Self-supervised learning and uncertainty representation - Yann LeCun
- Convex and non-convex optimization for machine learning - Francis Bach
- Mathematics is everything: from a research lab to a newsroom - Aurélie Jean
- Table ronde (en français) animée par Stéphane Mallat, avec Yannig Goude, Jakob Hoydis, Patrick Perez, Sophie Proust, Liva Ralaivola, Gilles Wainrib
- Computing with Light - Igor Carron
- The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives - Michael Jordan
- Topological insights in machine learning - Kathryn Hess
- The centrality of statistical reasoning in a data rich era - Emmanuel Candès
