Lectures and Seminars
Statistical Learning Theory and Applications, lecturer, SS25, SS26
Machine Learning: Basic Techniques, co-lecturer, WS25
AI Master Exams, examiner, WS24 - Now
PhD Pre-defensios, examiner, WS24 - Now
Geometric Deep Learning, co-lecturer, WS24
Lecture Series in AI, co-lecturer, WS24
Knowledge- and Data-based Modeling, lecturer, SS23
International Seminar on Learning Theory, organizer, JKU–TU Braunschweig–UNI Genova–UNI LUT, 2023-Now [link]
Industrial Research Seminar S3AI, organizer, 2020-2022 [link]
Students
Stephanie Holly, ongoing PhD
Paul Setinek, with Johannes Brandstetter, ongoing PhD
Claus Hofmann, with Sepp Hochreiter, ongoing PhD
Lukas Gruber, with Sepp Hochreiter, ongoing PhD
Marius-Constantin Dinu, PhD thesis on Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning, with Sepp Hochreiter, 2024
Hoan Nguyen Duc, PhD thesis on Regularization in Reproducing Kernel Hilbert Spaces for Covariate Shift Domain Adaptation, with Sergei Pereverzyev, 2023
Andrea Huber, MSc thesis on Evaluating Parameter Choice Methods for Unsupervised Domain Adaptation of Sentiment Classification, with Sepp Hochreiter, 2023
Johannes Zigsch, MSc thesis on Domain Generalization by Deep Learning-Based Domain Encoding, with Sepp Hochreiter, 2023