Computational Inverse Problems: Bayes and Beyond

Workshop at the Technical University of Denmark, room 101/S02

Wednesday, November 22, 2023, 9:00 – 12:00

Organized by Kim Knudsen within the CUQI framework


Inverse problems are about recovering images or parameters of quantities from indirect measurements. Applications include medical imaging, process tomography, non-destructing testing, and seismology. Such problems are often high-dimensional and ill-posed, and hence we need to take advantage of clever modeling and regularization to obtain fast and reliable computational methods.

The aim of this workshop is to bring together researchers with an interest in combining theory with modelling and computations for inverse problems and learn about new progress. The workshop is organized within the CUQU framework, funded by the Villum Foundation.



9:00 Josselin Garnier, École Polytechnique, France

Reduced order model approach for imaging with waves

9:50 Hanne Kekkonen, TU Delft, Netherlands

Data based density selection for random tree Besov priors

10:40 Coffee break


11:00 Tanja Tarvainen, University of Eastern Finland, Finland

Utilising Monte Carlo method for light transport in the inverse problem of quantitative photoacoustic tomography


The workshop is concluded by lunch at DTU: For registration, please send an email to Kim Knudsen


ons 22 nov 23
9:00 - 12:00


DTU Compute



Technical University of Denmark, builiding 101 room S02