Jan Macdonald
Jan Macdonald
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1
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
We study the effects of constrained optimization formulations and Frank-Wolfe algorithms for obtaining interpretable neural network …
Jan Macdonald
,
Mathieu Besançon
,
Sebastian Pokutta
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Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
This work is concerned with the following fundamental question in scientific machine learning: Can deep-learning-based methods solve …
Martin Genzel
,
Ingo Gühring
,
Jan Macdonald
,
Maximilian März
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A Complete Characterisation of ReLU-Invariant Distributions
We give a complete characterisation of families of probability distributions that are invariant under the action of ReLU neural network …
Jan Macdonald
,
Stephan Wäldchen
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Interval Neural Networks as Instability Detectors for Image Reconstructions
This work investigates the detection of instabilities that may occur when utilizing deep learning models for image reconstruction …
Jan Macdonald
,
Maximilian März
,
Luis Oala
,
Wojciech Samek
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