Accueil de la pré-journée Room: Salle Johnson

Introduction Room: Salle Johnson

Applications Bio & Santé Room: Salle Johnson

Machine Learning Room: Salle Johnson

Exposé autour de la thèse et l'après-thèse Room: Salle Johnson

Table-ronde autour de l'après-thèse Room: Salle Johnson

Discussions et fin de la pré-journée Room: Salle Johnson

Accueil Room: Auditorium J. Herbrand

Ouverture des journées Room: Auditorium J. Herbrand

Inference techniques for the analysis of Brownian image textures Room: Auditorium J. Herbrand

Introduction à l'apprentissage par renforcement Room: Auditorium J. Herbrand

Room: Brasserie L'esplanade

Unbiased estimation of smooth functions. Applications in statistic and machine learning Room: Auditorium J. Herbrand

A new preconditioned stochastic gradient algorithm for estimation in latent variable models Room: Auditorium J. Herbrand

Gaussian processes with inequality constraints: Theory and computation Room: Auditorium J. Herbrand

Accueil Room: Auditorium J. Herbrand

Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning Room: Salle Johnson

Building explainable and robust neural networks by using Lipschitz constraints and Optimal Transport Room: Auditorium J. Herbrand

Introduction à l'apprentissage par renforcement Room: Amphi Fermat 1A

Room: Brasserie L'esplanade

Nonparametric Bayesian mixture models for identifying clusters from longitudinal and cross-sectional data Room: Auditorium J. Herbrand

Polya urn models for multivariate species abundance data and neutral theory of biodiversity Room: Auditorium J. Herbrand

A primer on diffusion-based generative models Room: Amphi Fermat 1A

Les Caves de la Maréchale Room: Les Caves de la Maréchale

Conformal prediction for object detection Room: Auditorium J. Herbrand

A primer on diffusion-based generative models Room: Amphi Grignard 2A

Mot de la fin Room: Auditorium J. Herbrand