I am a PhD student at the Machine Learning Group of Prof. Dr. Ulf Brefeld at the
Leuphana University of Lüneburg.
I received a Master of Science in Computer Science
as well as a Bachelor of Science in Mathematics
from Technische Universität Darmstadt and
a Bachelor of Science in Computer Science from Hochschule Darmstadt University of Applied Sciences.
Advanced Machine Learning (W17)
Introduction to Intelligent Data Analysis (S18,S19)
Learning from Data (W16)
Machine Learning and Data Mining (W19)
Programming in Python (S16,S17,W17,S18)
Statistics for Computer Scientists (W16,W17,W18,W19)
Storage and Mining of Massive Datasets (S16,S17,S18,S19)
S. Mair, S. G. Fadel, R. da Silva Torres, and U. Brefeld. Efficient Normalizing Flows to Polytopes (abstract). Proceedings of the Northern Lights Deep Learning Workshop, 2020.
S. G. Fadel, S. Mair, R. da Silva Torres, and U. Brefeld. An Appropriate Prior Distribution for Interpolating Latent Samples in Flow-based Generative Models (abstract). Proceedings of the Northern Lights Deep Learning Workshop, 2020.
M. Schäfer, S. Mair, W. Berchtold, and M. Steinebach. Universal threshold calculation for fingerprinting decoders using mixture models. In Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security, pages 109–114. ACM, 2015. [link]