As part of the colloquium of the Research Training Group Algorithmic Optimization, the following event will take place on

Monday, February 6, 2023
16:45 c.t.
lecture hall 9

the following lecture will take place:

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.