Leo Schwinn
Friedrich–Alexander University of Erlangen–Nuremberg
adversarial examples
deep learning
out-of-distribution data
ml: clustering
ml: probabilistic methods
ml: evaluation and analysis (machine learning)
2
presentations
SHORT BIO
Leo Schwinn received his BSC ('17) and MSC ('19) degree in Medical Engineering from the Friedrich-Alexander-University Erlangen-Nuernberg (FAU). He is currently a Ph.D. student at the Machine Learning and Data Analytics Lab at the FAU. His research interests include machine learning, deep learning, and adversarial examples in machine learning.
Presentations
FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
Kai Klede and 3 other authors
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
Leon Bungert and 7 other authors