News Overview

Current state-of-the-art ma­chine learning methods impress with their capabilities for prediction, classification, or when solving even complex analytical tasks in the case of large language models. However, these methods often appear as a "black box" from the outside which makes it hard to understand how a result was achieved. In his talk on Interpretable Representations and Neuro-symbolic Methods in Deep Learning on April 19, 2023 (11:00 am), Jan Stühmer will discuss several approaches to interpretability in ma­chine learning. The talk will take place in the DKFZ Lecture Hall, Communication Center, INF 280. Jan Stühmer is junior group leader at the Hei­del­berg Institute for Theo­re­ti­cal Studies and Juniorprofessor at KIT.

For further information, see the talk announcement by the Deutsches Krebsforschungszentrum (DKFZ).