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Séminaire du CMLA : Bayesian inference and convex geometry: theory, methods, and algorithms

le 28 mars 2019

Séminaire animé par Marcelo Pereyra (Heriot-Watt University, Edinburgh)

Marcelo Pereyra

Marcelo Pereyra

Abstract :

This talk presents an overview of some exciting new work that is developing at the fertile interface between imaging sciences, Bayesian statistics, and convex analysis. We will focus on new mathematical theory, methods, and algoritms for performing uncertainty quantification in imaging inverse problems, and pay particular attention to the pluridisciplinary aspects of the work. This will be illustrated with a range of examples related to medical and astronomical imaging.

Type :
Séminaires - conférences
Lieu(x) :
Campus de Cachan
Bâtiment Cournot, salle C103

Invited speaker

Assistant Professor at the School of Mathematics and Computer Sciences of Heriot-Watt University, and the Maxwell Institute for Mathematical Sciences.


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