Séminaire des doctorants Orléans
Elhadji Cisse Faye: Bayesian inversion with deep learning-driven priors.Elhadji Cisse Faye (IDP-Orléans)
Thursday 09 October 2025 10:30 - IDP-Orléans - Salle de séminaire
Résumé :
This thesis addresses the restoration of degraded images, a key challenge in medical imaging, astrophysics, and microscopy. The goal is to recover an image from noisy observations while quantifying uncertainty. We adopt a Bayesian approach that combines explicit probabilistic modeling with deep neural networks trained for denoising. We design novel sampling algorithms, including a Gibbs-type scheme that integrates Langevin dynamics adapted to the geometry of the problem. Our methods achieve high-quality reconstructions and provide rigorous uncertainty estimates, enabling more interpretable and reliable image analysis.
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