Workshop: Imaging With Uncertainty Quantification (IUQ22), September 2022

A 3-day workshop on computational uncertainty quantification for inverse problems,
preceded by a 1-day training course on our software CUQIpy

Training course: Sept. 26 Workshop: Sept. 27-29, 2022 Held at conference center Konventum in Helsingør (Elsinore), north of Copenhagen. Arranged by the research project CUQI.

Imaging applications are everywhere in science and technology, and often there is a need for assessing the uncertainty of the reconstructions due to measurement noise, model errors, etc. Hence, we see an increasing interest in performing uncertainty quantification (UQ) for imaging applications, and for making such methods readily useful in applications.

This workshop aims at bringing together specialists in UQ for imaging, and we invite talks that cover various aspects related to the development of theory, methodology and software. We also invite talks about interesting applications of UQ in imaging. The goal is to stimulate networking and collaboration between researchers and students in these areas.

Before the workshop, we arrange a 1-day short course devoted to the Python software CUQIpy that we are currently developing for modeling and computations related to UQ for imaging. The short course is primarily aimed at PhD students and postdocs having a rudimentary familiarity with Python.

   

Getting to Konventum. There is a direct train from Copenhagen Airport to Helsingør Station once an hour - you can use the online travel guide "rejseplanen" to find connections. The conference center Konventum is located 3 km from Helsingør Station, and you can catch a taxi at the station (or call +45 48484848 for Helsingør Taxa). The taxi will cost 150-200 DKK.

Invited Speakers

A number of invited speakers will give talks related to the themes of the workshop: Assoc. Prof. Thomas Mejer Hansen, Aarhus University, homepage Professor Bangti Jin, Chinese University of Hong Kong, homepage Assistant Prof. Hanne Kekkonen, TU Delft, homepage Dr. Alexander Litvinenko, RWTH Aachen University, homepage Assoc. Prof. Marcelo Pereyra, Heriot-Watt University, Edinburgh homepage Professor Aku Seppänen, University of Eastern Finland homepage Professor Tanja Tarvainen, University of Eastern Finland, homepage Research Professor Faouzi Triki, Grenoble-Alpes University, homepage

The Training Course

The training course is an opportunity to learn about our software platform CUQIpy for modeling and computations with UQ for inverse problems. The goal of this software is to provide an easy-to-use platform that allows non-experts in UQ and Bayesian inversion to perform UQ analysis of inverse problems. At the same time, the software allows expert users full control of the models and methods. After a brief introduction to UQ, we demonstrate the main features of the software via examples and hands-on exercises using the built-in use-cases. Then we describe more advanced features, and we demonstrate how to work with one's own inverse problem in the CUQIpy software.

Please bring a laptop.

Program

This is the final version of the program. A pdf file with the abstracts is available HERE.