Bayesian deconvolution of noisy filtered point processes. - Christophe Andrieu; Eric Barat; Arnaud Doucet (IEEE Trans. Signal Process., 2001)

Pile-up correction algorithms for nuclear spectrometry. - Thomas Trigano; Thomas Dautremer; Eric Barat; Antoine Souloumiac (ICASSP (4), 2005)

A discrete-continuous Bayesian model for Emission Tomography. - Mame Diarra Fall; Eric Barat; Claude Comtat; Thomas Dautremer; Thierry Montagu; Ali Mohammad-Djafari (ICIP, 2011)

Dynamic and clinical PET data reconstruction: A nonparametric Bayesian approach. - Mame Diarra Fall; Eric Barat; Claude Comtat; Thomas Dautremer; Thierry Montagu; Simon Stute (ICIP, 2013)

Signal stochastic decomposition over continuous dictionaries. - Zacharie Naulet; Eric Barat (MLSP, 2014)

Fast Digital Filtering of Spectrometric Data for Pile-up Correction. - Thomas Trigano; Eric Barat; Thomas Dautremer; Thierry Montagu (IEEE Signal Process. Lett., 2015)

PET Reconstruction of the Posterior Image Probability, Including Multimodal Images. - Marina Filipovic; Eric Barat; Thomas Dautremer; Claude Comtat; Simon Stute (IEEE Trans. Medical Imaging, 2019)

A Reliable Absolute and Relative Bayesian Method for Nuclear Decommissioning: Low-Level Radioactivity Detection With Gamma-Ray Spectrometry. - Hanan Arahmane; Jonathan Dumazert; Eric Barat; Thomas Dautremer; Nicolas Dufour; Frédérick Carrel; Maugan Michel; Frédéric Lainé (IEEE Trans. Instrum. Meas., 2021)

Discretely Indexed Flows. - Elouan Argouarc'h; François Desbouvries; Eric Barat; Eiji Kawasaki; Thomas Dautremer (CoRR, 2022)

Nonparametric Posterior Learning for Emission Tomography. - Fedor Goncharov; Eric Barat; Thomas Dautremer (SIAM/ASA J. Uncertain. Quantification, 2023)

Generative vs. Discriminative modeling under the lens of uncertainty quantification. - Elouan Argouarc'h; François Desbouvries; Eric Barat; Eiji Kawasaki (CoRR, 2024)

Classifier Weighted Mixture models. - Elouan Argouarc'h; François Desbouvries; Eric Barat; Eiji Kawasaki; Thomas Dautremer (CoRR, 2025)