Research group on Human-Centric Machine Learning

Our paper "Detect, Adapt, Overcome: Mitigating Concept Drift in Federated Learning" got accepted for publication at the FLTA conference.

Our paper "Single-positive Multi-label Learning with Label Cardinality" got accepted for publication at TMLR.

The abstract "Legal Co-pilots: Perspectives and Technical Challenges" was accepted for presentation at the Tübingen conference on AI and Law, which will take place in November.

Our paper "Two-Agent Case-Based Reasoning for Prediction" got accepted for presentation at the International Conference on Case-Based Reasoning (ICCBR).

We are glad to welcome Mahmoud Ajami, who is joining the group as a PhD student in collaboration with XFEL to explore the role of AI in experimental operations. He will be co-supervised with Steffen Hauf. Mahmoud's research will focus on the development of AI co-pilots ('whispering AIs') to support free-electron laser (FEL) experiments by identifying issues and suggesting actions. In the future, the developped tools could serve as a knowledge assistant and potentially steer parts of the experiment through human interaction.