Camille Chapdelaine

According to our database, Camille Chapdelaine authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Backpropagation-Based Analytical Derivatives of EKF Covariance for Active Sensing.

Jonas Benhamou, Silvère Bonnabel, Camille Chapdelaine

CoRR, 2024

2023

Optimal Active Sensing Control for Two-Frame Systems.

Jonas Benhamou, Silvère Bonnabel, Camille Chapdelaine

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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, Sylvain Pasquet, Kevin Delmas, Claire Pagetti, Jean-Marc Gabriel, Camille Chapdelaine, Sylvaine Picard, Mathieu Damour, Cyril Cappi, Laurent Gardès, Florence de Grancey, Eric Jenn, Baptiste Lefèvre, Grégory Flandin, Sébastien Gerchinovitz, Franck Mamalet, Alexandre Albore

CoRR, 2021

Dataset Definition Standard (DDS).

Cyril Cappi, Camille Chapdelaine, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Sylvaine Picard, Thomas Soumarmon

CoRR, 2021

2020

Ensuring Dataset Quality for Machine Learning Certification.

Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon

Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

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

PhD thesis, 2019

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

2018

Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems.

Ali Mohammad-Djafari, Mircea Dumitru, Camille Chapdelaine, Nicolas Gac

Proceedings of the 26th European Signal Processing Conference, 2018

2017

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