Training course: Sept. 26
Workshop: Sept. 27-29, 2022
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.The workshop and training course are part of the activities in the research project CUQI, Computational Uncertainty Quantification for Inverse problems, funded by Villum Fonden (the Villum Foundation). We also acknowledge financial support from the TIRCA Foundation and Otto Mønsteds Fond (the Otto Mønsted Foundation).
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.
A number of invited speakers will give talks related to the themes of the workshop:
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.
This is the final version of the program. A pdf file with the abstracts is available HERE.
|Sunday, Sept. 25|
|Monday, Sept. 26||Training course|
|Tuesday, Sept. 27|
|09:15||-||10:15||Marcelo Pereyra||An introduction to Bayesian imaging with data-driven priors encoded by neural networks|
|10:15||-||10:45||Rémi Laumont||Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie|
|11:15||-||12:15||Hanne Kekkonen||Random tree Besov priors|
|12:15||-||12:45||Yiqiu Dong||The horseshoe prior for edge-preserving Bayesian inversion|
|14:00||-||15:00||Thomas Mejer Hansen||Probabilistic integration of (geo)-information|
|15:30||-||16:00||Jakob S. Jørgensen||CUQIpy: A new Pyhthon platform for computational uncertainty quantifiation for inverse problems|
|16:00||-||16:30||Johannes Hertrich||The Power of Patches for Training Normalizing Flows|
|Andreas Horst, Elias Vänskä, Eva Havelková, Kenneth Scheel, Puyuan Mi, Silja L. Christensen,|
|17:30||-||18:30||Guided art tour at Konventum (for those who registered)|
|09:00||-||10:00||Aku Seppänen||Recovery from modelling errors in non-stationary inverse problems|
|10:00||-||10:30||Fabian Parzer||Uncertainty-aware blob detection in astronomical imaging|
|11:00||-||12:00||Faouzi Triki||Inverse moving point source problem for the wave equation|
|12:00||-||12:30||Remo Kretschmann||Optimal and Bayesian hypothesis testing in statistical inverse problems|
|12:30||-||13:00||Mirza Karamehmedović||Forward Uncertainty Quantification for the Helmholtz Equation|
|14:00||Bus departure for excursion to Kronborg (open till 17:00 - for those who registered)|
|(No bus back to Konventum!)|
|19:00||CONFERENCE DINNER at Konventum|
|Thursday, Sept. 29|
|09:00||-||10:00||Bangti Jin||Deep Image Prior of Inverse Problems: Acceleration and Probability Treatment|
|10:00||-||10:30||Babak Maboudi Afkham||Uncertainty quantification of inclusion boundaries in the context of X-ray tomography|
|11:00||-||12:00||Alexander Litvinenko||Weakly Supervised Regression on Uncertain Datasets|
|12:00||-||12:30||Kim Knudsen||Sound speed uncertainty in Acousto-Electric Tomography|
|12:30||-||13:00||Jasper Everink||Sparse Bayesian Inference with Regularized Gaussians|
|14:00||-||15:00||Tanja Tarvainen||Bayesian Approach to Quantitative Photoacoustic Tomography|
|15:30||-||16:00||Charlesquin Mbakam||Empirical Bayesian estimation for semi-blind inverse problems: Application to image deblurring with total variation regularization|
|16:00||End of workshop|