In this bi-weekly seminar, foundational and current research in the area of explainable machine learning (XAI) is disseminated. Students get assigned a paper to present. With the help of their supervisors, students will read, understand, evaluate, and present selected research papers on methods, applications, and theory in XAI.
The seminar is intended for Master students. A basic understanding of machine learning is strongly recommended.
- Trainer/in: Laura Kopf