Seminar Explainable Machine Learning

1st meeting:

21.04.2023, 11:00-13:00

Presentations:

Bi-weekly

Responsible:

Prof. Dr. Klaus-Robert Müller

Lecturer

Lorenz Linhardt

Contact

l.linhardt@campus.tu-berlin.de

Room:

Mar 4.033

Language

English

In this seminar, foundational and current research in the area of explainable machine learning (XAI) will be disseminated.

Students can select from a pool of papers from a given curriculum. With the help of their supervisors, students will read, understand, evaluate and present selected research papers on methods in XAI. Students will present their topic in a 15-20 min talk in English. Each talk will be followed by a discussion by the participants.

Presence at the kick-off meeting is required.

IDA Wiki: Main/SS23_XAI (last edited 2023-04-04 09:15:54 by LorenzLinhardt)