36 citations · 163 across the 33 of their papers we have counts for
3 papers · 1 filter
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
Bernard Bercu, Jérémie Bigot
This paper is devoted to the stochastic approximation of entropically regularized Wasserstein distances between two probability measures, also known as Sinkhorn divergences. The se…
Data-Oriented Algorithm for Real-Time Estimation of Flow Rates and Flow Directions in a Water Distribution Network
Christophe Dumora, David Auber, Jérémie Bigot +2
The aim of this paper is to present how data collected from a water distribution network (WDN) can be used to reconstruct flow rate and flow direction all over the network to enhan…
Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration
Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis
We present a framework to simultaneously align and smooth data in the form of multiple point clouds sampled from unknown densities with support in a d-dimensional Euclidean space.…