1k citations · 1k across the 6 of their papers we have counts for
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3 papers · 1 filter
cs.CC2019★ 2 cited
The Computational Complexity of Understanding Network Decisions
Stephan Wäldchen, Jan Macdonald, Sascha Hauch +1
For a Boolean function and an assignment to its variables we consider the problem of finding the subsets of the var…
cs.LG2019★ 15 cited
A Rate-Distortion Framework for Explaining Neural Network Decisions
Jan Macdonald, Stephan Wäldchen, Sascha Hauch +1
We formalise the widespread idea of interpreting neural network decisions as an explicit optimisation problem in a rate-distortion framework. A set of input features is deemed rele…
cs.AI2019★ 1k cited
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder +3
Current learning machines have successfully solved hard application problems, reaching high accuracy and displaying seemingly "intelligent" behavior. Here we apply recent technique…