Project
EF1-1
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
Description
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
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