4 papers
Classifier Weighted Mixture models
Elouan Argouarc'h, François Desbouvries, Eric Barat +2
This paper proposes an extension of standard mixture stochastic models, by replacing the constant mixture weights with functional weights defined using a classifier. Classifier Wei…
Measurement of Low-Activity Uranium Contamination using Bayesian Statistical Decision Theory
Hanan Arahmane, Jonathan Dumazert, Eric Barat +4
Amongst the various technical challenges in the field of radiation detection is the need to carry out accurate low-level radioactivity measurements in the presence of large fluctua…
Discretely Indexed Flows
Elouan Argouarc'h, François Desbouvries, Eric Barat +2
In this paper we propose Discretely Indexed flows (DIF) as a new tool for solving variational estimation problems. Roughly speaking, DIF are built as an extension of Normalizing Fl…
Nonparametric posterior learning for emission tomography with multimodal data
Fedor Goncharov, Éric Barat, Thomas Dautremer
We continue studies of the uncertainty quantification problem in emission tomographies such as PET or SPECT when additional multimodal data (e.g., anatomical MRI images) are availa…