A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data. - Camille Chapdelaine; Ali Mohammad-Djafari; Nicolas Gac; Estelle Parra (Fundam. Informaticae, 2017)

Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems. - Ali Mohammad-Djafari; Mircea Dumitru; Camille Chapdelaine; Nicolas Gac (EUSIPCO, 2018)

Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior. - Camille Chapdelaine; Ali Mohammad-Djafari; Nicolas Gac; Estelle Parra (IEEE Trans. Computational Imaging, 2019)

Bayesian iterative reconstruction methods for 3D X-ray Computed Tomography. (Méthodes bayésiennes de reconstruction itérative pour la tomographie 3D à rayons X). - Camille Chapdelaine (2019)

Ensuring Dataset Quality for Machine Learning Certification. - Sylvaine Picard; Camille Chapdelaine; Cyril Cappi; Laurent Gardes; Eric Jenn; Baptiste Lefèvre; Thomas Soumarmon (ISSRE Workshops, 2020)

Dataset Definition Standard (DDS). - Cyril Cappi; Camille Chapdelaine; Laurent Gardes; Eric Jenn; Baptiste Lefèvre; Sylvaine Picard; Thomas Soumarmon (CoRR, 2021)

White Paper Machine Learning in Certified Systems. - Hervé Delseny; Christophe Gabreau; Adrien Gauffriau; Bernard Beaudouin; Ludovic Ponsolle; Lucian Alecu; Hugues Bonnin; Brice Beltran; Didier Duchel; Jean-Brice Ginestet; Alexandre Hervieu; Ghilaine Martinez; et al. (CoRR, 2021)

Optimal Active Sensing Control for Two-Frame Systems. - Jonas Benhamou; Silvère Bonnabel; Camille Chapdelaine (CDC, 2023)

Maximum likelihood estimation of the extended Kalman filter's parameters with natural gradient. - Colin Parellier; Camille Chapdelaine; Axel Barrau; Silvère Bonnabel (CDC, 2024)

Backpropagation-Based Analytical Derivatives of EKF Covariance for Active Sensing. - Jonas Benhamou; Silvère Bonnabel; Camille Chapdelaine (IROS, 2024)