4 citations · 8 across the 6 of their papers we have counts for
6 papers
Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework
Fleur Gaudfernau, Eléonore Blondiaux, Stéphanie Allassonnière +1
Estimating accurate high-dimensional transformations remains very challenging, especially in a clinical setting. In this paper, we introduce a multiscale parameterization of deform…
Bootstrapping Expectiles in Reinforcement Learning
Pierre Clavier, Emmanuel Rachelson, Erwan Le Pennec +1
Many classic Reinforcement Learning (RL) algorithms rely on a Bellman operator, which involves an expectation over the next states, leading to the concept of bootstrapping. To intr…
Learning from both experts and data
Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière
In this work we study the problem of inferring a discrete probability distribution using both expert knowledge and empirical data. This is an important issue for many applications…
Gaussian Mixture Regression model with logistic weights, a penalized maximum likelihood approach
Lucie Montuelle, Erwan Le Pennec, Serge Cohen
We wish to estimate conditional density using Gaussian Mixture Regression model with logistic weights and means depending on the covariate. We aim at selecting the number of compon…
Adaptive Dantzig density estimation
Karine Bertin, Erwan Le Pennec, Vincent Rivoirard
This paper deals with the problem of density estimation. We aim at building an estimate of an unknown density as a linear combination of functions of a dictionary. Inspired by Cand…
Maxisets for Model Selection
Florent Autin, Erwan Le Pennec, Jean-Michel Loubes +1
We address the statistical issue of determining the maximal spaces (maxisets) where model selection procedures attain a given rate of convergence. By considering first general dict…