Speaker
Tim Roith
(FS-CI (Computational Imaging))
Description
We will present the work and expertise of the newly established Computational Imaging Group at DESY. Being founded in mathematics, we provide expertise in inverse problems as well as theoretical foundations of machine learning methods.
We give an overview of mathematical methods in imaging and applications thereof, in particular algorithms for reducing computational cost in large scale problems. Moreover, we give insight into theoretically founded training of robust or sparse neural networks.
Primary authors
Tim Roith
(FS-CI (Computational Imaging))
Martin Burger
(FS-CI (Computational Imaging))
Lorenz Kuger
(FS-PS (Photon Science))
Ms
Samira Kabri
(FS-CI (Computational Imaging))
Lukas Weigand
(FS-CI)
