190 citations · 432 across the 36 of their papers we have counts for
4 papers · 1 filter
Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications
Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis
The notion of entropy-regularized optimal transport, also known as Sinkhorn divergence, has recently gained popularity in machine learning and statistics, as it makes feasible the…
CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration
C-A. Deledalle, N. Papadakis, J. Salmon +1
In this paper, we propose a new framework to remove parts of the systematic errors affecting popular restoration algorithms, with a special focus for image processing tasks. Genera…
Penalized Barycenters in the Wasserstein Space
Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis
In this paper, a regularization of Wasserstein barycenters for random measures supported on is introduced via convex penalization. The existence and uniqueness of…
On debiasing restoration algorithms: applications to total-variation and nonlocal-means
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
Bias in image restoration algorithms can hamper further analysis, typically when the intensities have a physical meaning of interest, e.g., in medical imaging. We propose to suppre…