Team overview page 〉Details for: Felix Draxler
Research interests:
Machine Learning, Unsupervised Learning, Generative Models, Normalizing Flows, Invertible Neural Networks
Short summary of current research:
Normalizing flows are one of the most prominent machine learning methods for generative models, which aim to learn a distribution of input data by examples. I work on the theory of normalizing flows, aiming to understand when, why and how they work in practice.