Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ferdinand Genans5 · h 1
- Olivier Wintenberger5 · h 19
- Sylvain Le Corff4 · h 4
- Stanislas Strasman2 profiles3 · h 2
- Antoine Godichon-Baggioni2 · h 2
- Antonio Ocello2 · h 3
- Claire Boyer2 profiles2 · h 6
- François-Xavier Vialard2 · h 25
- Jordan Serres2 · h 3
- Pierre Gaillard2 profiles2 · h 4
- Vincent Lemaire2 · h 2
- Alexandre Delplanque1 · h 1
- Laboratoire de Probabilités et Modèles AléatoiresFR9 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR9 papers
- Sorbonne UniversitéFR9 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR2 papers
- École PolytechniqueFR2 papers
- Institut Universitaire de FranceFR2 papers
- Laboratoire de Mathématiques d'OrsayFR2 papers
- Laboratoire d'Informatique Gaspard-MongeFR2 papers
- Université Paris-SaclayFR2 papers
- Centre Inria de SaclayFR1 paper
- Centre Inria d'Université Côte d'AzurFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
5 papers · 1 filter
A randomisation method for mean-field control problems with common noise
Robert Denkert, Idris Kharroubi, Huyên Pham
We study mean-field control (MFC) problems with common noise using the control randomisation framework, where we substitute the control process with an independent Poisson point pr…
The Deep Latent Position Block Model For The Block Clustering And Latent Representation Of Networks
Rémi Boutin, Pierre Latouche, Charles Bouveyron
The increased quantity of data has led to a soaring use of networks to model relationships between different objects, represented as nodes. Since the number of nodes can be particu…
Hyperbolic absolutely continuous invariant measures for C^r one-dimensional maps
Alexandre Delplanque
For r > 1, we show, using the Ledrappier-Young entropy characterization of SRB measures for non-invertible maps, that if a C^r map f of the interval or the circle has its Lyapunov…
Change-point detection in regression models for ordered data via the max-EM algorithm
Modibo Diabaté, Grégory Nuel, Olivier Bouaziz
We consider the problem of breakpoint detection in a regression modeling framework. To that end, we introduce a novel method, the max-EM algorithm which combines a constrained Hidd…
An analysis of the noise schedule for score-based generative models
Stanislas Strasman, Antonio Ocello, Claire Boyer +2
Score-based generative models (SGMs) aim at estimating a target data distribution by learning score functions using only noise-perturbed samples from the target.Recent literature h…