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

Date: Wed. March 20, 2024
Event: FAU MoD Lecture
Organized by: FAU MoD, the FAU 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 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.

See poster

AUDIENCE

This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.

WHEN

Wed. March 20, 2024 at 14:30H (Berlin time)

WHERE

On-site / Online

[On-site] Friedrich-Alexander-Universität Erlangen-Nürnberg.
Room H13 Johann-Radon-Hörsaal
Cauerstraße 11, 91058 Erlangen
GPS-Koord. Raum: 49.573764N, 11.030028E

[Online] FAU Zoom link
Meeting ID: 624 1094 3213 | PIN code: 694096

This event on LinkedIn

 
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