Géométrie Énumérative

Dedieu, Thomas
12 November 2026, 08:45 → 09:45
IMT

We will soon learn that statements in logarithmic geometry typically consist of two pieces – one handled by the traditional algebro-geometric canon and another that is combinatorial in nature. We will introduce the …

Séminaire de Géométrie Complexe

12 November 2026, 10:30 → 11:30

Séminaire Maths-Physique

Garcia, Zoe
12 November 2026, 11:00 → 12:00

Purifications are ubiquitous in quantum information, where they are often regarded just as convenient mathematical representations of quantum states and channels. In this talk, we will explore instead their …

Séminaire d'Analyse

Gravejat, Philippe
12 November 2026, 11:15 → 12:15

The talk deals with the Gross-Pitaevskii equation in a two-dimensional strip. This equation has explicit travelling wave solutions on the line that are called dark solitons and that remain travelling wave solutions …

Séminaire des doctorants

Ligonnière, Maxime
12 November 2026, 14:00 → 16:00
Johnson (1R3)

In this talk, I will introduce two families of probabilistic objets. I'll start by presenting branching processes, which model a population of individuals and predict the demographic behavior of the population (will …

Séminaire de Maths-Info

Martin-Dorel, Erik
12 November 2026, 16:00 → 17:00
IMT

Interactive theorem proving (using a theorem prover such as Rocq, Lean, or Isabelle) has been successfully used in safety-critical systems (including compilers or cryptosystems) and in many mathematical domains, …

Séminaire de Systèmes Dynamiques

Guyot, Luc
13 November 2026, 10:30 → 12:30

Soit K un corps et I un idéal à deux générateurs de K[x, y]. Nous présenterons un théorème qui décrit les orbites de l'action naturelle du groupe linéaire GL_2(K[x, y]) sur les paires génératrices de I. Ce théorème …

Séminaire de Probabilités

Stonner, Jakob
17 November 2026, 09:50 → 10:50

Séminaire MAC

Zhou, Yizhou
17 November 2026, 11:15 → 12:15

The first-order hyperbolic relaxation system is a class of time-dependent partial differential equations which model various non-equilibrium phenomena. For such systems, the main interest is to understand the zero …

Séminaire de Statistique et Optimisation

Nguyen, Minh-Hai
17 November 2026, 11:15 → 12:15
1R3, 1er étage

Supervised convolutional neural networks (CNNs) are widely used to solve imaging inverse problems, achieving state-of-the-art performance in numerous applications. However, despite their empirical success, these …