| Foundations of Machine Learning | Lecturer |
Probabilistic Machine Learning | Hennig |
Statistical Machine Learning | Hein |
Diverse Topics in Machine Learning - Lectures | |
Computer Vision | Geiger |
| Reinforcement Learning | Martius |
| Machine Learning of Single Cell Dynamics | Claassen |
| Mobile Robots | Zell |
| Data Compression with and without deep probablistic models | Bamler |
| Efficient Machine Learning in Hardware | Bringmann |
| Neural Data Science | Berens |
Diverse Topics in Machine Learning - Seminars | |
| Machine Learning to fight Infections | Pfeifer |
| Machine Learning Methods for Scientific Discovery | Macke |
| Machine Learning for Renewable Energy Systems | Ludwig |
Multi-Agent Reinforcement Learning | Maghsudi |
| Autonomous Vision | Geiger |
| Rethinking the World's Problems with AI | Bethge, Hennig |
| Large Scale Generative Models: Prospects and Limitations | Zhang, Khoreva |
