Project
EF1-24
Expanding Merlin-Arthur Classifiers Interpretable Neural Networks through Interactive Proof Systems
Project Heads
Sebastian Pokutta, Stephan Wäldchen
Project Members
N.N.
Project Duration
01.04.2023 − 31.03.2026
Located at
TU Berlin
Description
Existing approaches for interpreting Neural Network classifiers that highlight features relevant for a decision are based solely on heuristics. We introduce a theory that allows us to bound the quality of the features without assumptions on the classifier model by relating classification to Interactive Proof Systems.
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