Im Rahmen des Kolloquiums des Graduiertenkollegs Algorithmic Optimization findet am

Montag, dem 6. Februar 2023
16:45 Uhr c.t.
Hörsaal 9

folgender Vortrag statt:

Theory and Applications of Generative Adversarial Learning

Prof. Dr. Hanno Gottschalk, University of Wuppertal

Generative learning is the machine learning task of learning to synthesize new examples that assimilate a given distribution. Since the introduction of generative adversarial networks in the year 2014, generative learning underwent a rapid development and reached a considerable technological level.

In this talk, generative adversarial learning is studied from a mathematical point of view. However, we also give applications on domain transfer and sampling from the invariant measure of ergodic processes.

In this talk, generative adversarial learning is studied from a mathematical point of view.
However, we also give applications on domain transfer and sampling from the invariant
measure of ergodic processes.