Team overview page  ›  Details for: Felix Draxler

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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.




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