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Un après-midi de théorie des groupes à l’ENS : Naomi Andrew, Basile Morando, Nicolas de Saxcé

Salle W

14.00 - 14.45 : Naomi Andrew (Laboratoire de Mathématiques d'Orsay)Title: Automorphisms behaving badlyAbstract: Baumslag–Solitar groups are HNN extensions of the infinite cyclic group, whose isomorphism type is controlled by two integers giving the two embeddings. They have provided many counterexamples over the years: for example, they include groups which are not Hopfian and groups which are Hopfian but not residually finite. Later, Collins and Levin showed that there are Baumslag–Solitar groups that do not have finitely generated automorphism group. Moving this construction to higher rank, one can study "Leary–Minasyan groups": these are […]

Automath! Marc Lelarge: Is generative AI solving mathematics?

ENS Salle Dussane

Automath est un projet collectif pour faire communauté en région parisienne autour de l'informatisation des mathématiques - Séminaire de lancement ce 30 janvier : " This presentation surveys very recent advances claimed for mathematics using large language models, highlighting the cultural divide between mathematics and deep learning, and the different tools and techniques each field brings to problem solving. "

Daniel Perrin – La géométrie : deux ou trois choses que je sais d’elle.

ENS — amphi Galois 45 rue d'Ulm, Paris, France

L'exposé tournera autour du programme d'Erlangen de Felix Klein. Il abordera les notions de groupes, de transitivité, d'invariants et de relations et en expliquant en quoi ces outils théoriques représentent un apport essentiel pour l'enseignement de la géométrie. Séminaires des Mathématiques

Sylvain Ervedoza

Jussieu — salle 15-16-309 4 Place Jussieu, Paris

Alessandro Laio: Identifying informative distance measures in high-dimensional feature spaces

ENS Salle Dussane

Real-world data  typically contain a large number of features that are often heterogeneous in nature, relevance, and also units of measure. When assessing the similarity between data points, one can build various distance measures using subsets of these features. Finding a small set of features that still retains sufficient information about the dataset is important for the successful application of many statistical learning approaches. We introduce an approach that can assess the relative information retained when using two different distance measures, and determine if they are equivalent, independent, or if […]

Nastassia Pouradier Duteil

ENS — amphi Galois 45 rue d'Ulm, Paris, France

Séminaires des Mathématiques

Thomas Hou

Salle W - ENS PSL 45 rue d'Ulm, Paris, France

Vlad Vicol

Jussieu -- salle 15-16-309 4 Place Jussieu, Paris, France

Hélène Mathis

Salle W - ENS PSL 45 rue d'Ulm, Paris, France