STRUCTURES Team
Team overview page › Details for: Felix Draxler
Felix Draxler
Interdisciplinary Center for Scientific Computing (IWR) › Computer Vision and Learning Lab, Image & Pattern Analysis
Fields of Interest:
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.
Contact:
felix.draxler[
]iwr.uni-heidelberg.de