Date: Wed. March 20, 2024
Event: FAU MoD Lecture
Event type: On-site / Online
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning

Speaker: Prof. Dr. Martin Burger
Affiliation: DESY, German Electron Synchrotron and Universität Hamburg

Abstract. In this talk we will discuss some current and future challenges in high-dimensional image reconstruction, which is based on the solution of large-scale inverse problems involving various uncertainties. While classical methods were purely based on physical models for forward operators and regularizations, modern machine learning techniques create the antithesis of data-driven approaches. We will discuss some pitfalls that machine learning can encounter in inverse problems and discuss opportunities for the synthesis of model- and data-driven approaches.

You can find more details of this FAU MoD lecture at:

https://mod.fau.eu/fau-mod-lecture-image-reconstruction-the-dialectic-of-modelling-and-learning/