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20162022
most citedSolving Inverse Problems With Deep Neural Networks -- Robustness Included?

150 citations · 213 across the 12 of their papers we have counts for

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Showing 2019Show all

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.LG2019

The Oracle of DLphi

Dominik Alfke, Weston Baines, Jan Blechschmidt +24

We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of l…