EF1 – Extracting Dynamical Laws from Complex Data



Quantifying Uncertainties in Explainable AI

Project Heads

Gitta Kutyniok, Klaus-Robert Müller, Wojciech Samek

Project Members

Alexander Stollenwerk (TU) 

Project Duration

01.01.2019 – 30.09.2020

Located at

TU Berlin


This project will develop a profound theoretical understanding of explainability of deep neural networks in the sense of identifying those features of the input data, which contribute most to the decision. The theory will pay particular attention to quantifying uncertainties in the process.

Project Webpages

Selected Publications

Selected Pictures

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