UQIPI24: UQ for Inverse Problems and Imaging

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UQIPI24: UQ for Inverse Problems and Imaging

 16 - 20 Sep 2024
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ICMS, Bayes Centre, Edinburgh

 Enquiries

Please use the button above to submit your application before 20 May 2024.

Scientific Organizers

  • Per Christian Hansen, Technical University of Denmark
  • Marcelo Pereyra, Heriot Watt University
  • Yiqiu Dong, Technical University of Denmark

About:

Inverse problems and imaging applications are everywhere, and often there is a need for assessing the uncertainty of the reconstructions due to noise, model errors, etc. by means of uncertainty quantification (UQ). Development of UQ methods requires collaboration across several areas.

This workshop will bring together specialists in UQ for inverse problems and imaging, and we invite talks 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, and to present state-of-the-art research results.

The workshop is supported by the project CUQI (Computational Uncertainty Quantification for Inverse problems) funded by the Villum Foundation (grant no. 25893) and by UKRI EPSRC BLOOM (EP/V006134/1) and LEXCI (EP/W007673/1).

Plenary Speakers 

  • Yoann Altmann, Heriot-Watt University
  • Tatiana Bubba, University of Bath
  • Per Christian Hansen, Technical Univ. of Denmark
  • Aku Seppänen, University of Eastern Finland
  • Julian Tachella , CNRS and ENS de Lyon
  • Faouzi Triki, Grenoble-Alpes University

​CUQIpy Software Tranining Course

CUQIpy is a python software package for computational uncertainty quantification for inverse problems, developed in the CUQI research project.

Before the main workshop, we give a training course on this software. Participants will learn to use CUQIpy to model statistical inverse problems and perform UQ on them. The course includes hands-on tutorials (bring your laptop!) with examples from image deblurring, X-ray CT, and inverse problems based on partial differential equations. Half of the course is devoted to working on a small use-case with CUQIpy, and participants are encouraged to bring their own case and data.

​Participation and Registration

Participation in person only.

You can apply to attend using the link on top of this page. Please fill in the form before 20 May 2024 otherwise your application will not be reviewed. All applicants will be contacted by ICMS before end of May regarding the application result.

There are opportunities to contribute a talk or present a poster.  There will be a £100.00 gift card award for the best poster, which will be selected and announced at the end of the workshop. If you wish to apply for one of them, please submitt your talk/poster title and abstract when you fill in the application form. 

Please note if your application is successful, you will need to pay £200.00 registration fee to attend this workshop. You can apply for the reduced rate (£100.00) if you are an Early Career Researcher or a PhD student.

​Programme

Monday morning is devoted to a brief tutorial on Bayesian inference and UQ for inverse problems.

The CUQIpy training course lasts from Monday noon until Tuesday noon; Monday evening is available for the nerds.

The core workshop lasts from Tuesday noon until Friday noon, and consists of plenary talks, contributed talks, and poster sessions. There will be a welcome reception on Tuesday evening, and on Thursday evening there will be a guided tour followed by the workshop dinner.

For those who stay on Friday afternoon, we arrange a social event – perhaps a visit to a whisky or gin distillery.

​Scam Warning

We are aware of a number of current scams targeting participants at ICMS workshops in relation to registration or accommodation bookings. If you are approached by a third party (eg travellerpoint.org, Conference Committee or Royal Visit) asking for booking or payment details, please ignore. Please remember:
i) ICMS never uses third parties to do our administration for events: messages will come directly from ICMS staff
ii) ICMS will never ask participants for credit card or bank details
iii) If you have any doubt about an email you receive please get in touch

 

Sponsors and Funders:

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