Research Unit for Mathematical Sciences organizes a colloquium talk
Speaker: Sebastian Lunz (University of Cambridge)
Time: Wednesday 17.4 at 14:15.
Title: Adversarial Regularizers in Inverse Problems
Abstract: In the past years, machine learning algorithms and in particular deep learning have been providing new tools to the inverse problems community, that have been used to greatly improve reconstruction quality. In this talk, we will give a brief overview of recent approaches to inverse problems using machine learning and will then discuss adversarial regularizers, an approach based on learning a regularization functional, in detail. As applications, we consider traditional imaging problems like computed tomography as well as single particle analysis as a novel application.
Viimeksi päivitetty: 12.4.2019