2019 - Deep Learning and Inverse Problems

Autumn School, November 04th - 08th 2019, University of Bremen

The Research Training Group 2224 on Parameter Identification hosted an autumn school on the intersection of deep learning and inverse problems. It took place at the University of Bremen, November 04 - 08, 2019.

The number of successful applications of deep learning in the context of inverse problems rapidly grows. In this autumn school we laid the foundations of both machine learning and inverse problems, as well as covered current research topics in their intersection. The autumn school targeted advanced Master students, PhD students and PostDocs working on inverse problems, who were interested in the intersection of deep learning and inverse problems.

For more information please visit the Official Webpage

Lecturers

Prof. Dr. Carola-Bibiane Schönlieb	University of Cambridge, United Kingdom
Prof. Dr. Markus Haltmeier	University of Innsbruck, Austria
Dr. Martin Benning	Queen Mary University of London, United Kingdom
Prof. Dr. Matthias Bethge	Max Planck Institute, Germany
Prof. Dr. Michael Möller	University of Siegen, Germany
Prof. Dr. Nihat Ay	Hamburg University of Technology, Germany
Prof. Dr. Ozan Öktem	KTH Stockholm, Sweden
Prof. Dr. Simon Arridge	University College London, United Kingdom

Organization committee

Dr. Christian Etmann	University of Bremen, Germany
Dr. Daniel Otero Baguer	University of Bremen, Germany
Dr. Jens Behrmann	University of Bremen, Germany
Dr. Sören Dittmer	University of Bremen, Germany
Dr. Tobias Kluth	University of Bremen, Germany
Prof. Dr. Dr. h.c. Peter Maass	University of Bremen, Germany

Aktualisiert von: RTG Web Team

RSS

Seite drucken