Speaker
Mr
Patrick Vaudrevange
(TU München)
Description
Recently, machine learning techniques have entered the field of string phenomenology, for example, in order to identify promising string models in the vast landscape of string theory vacua. We review different approaches and techniques, like 'Autoencoders', 'Reinforcement Learning' and 'Generative Adversarial Networks' and apply them to several physical questions.
