150 citations · 213 across the 12 of their papers we have counts for
3 papers · 1 filter
A Complete Characterisation of ReLU-Invariant Distributions
Jan Macdonald, Stephan Wäldchen
We give a complete characterisation of families of probability distributions that are invariant under the action of ReLU neural network layers. The need for such families arises du…
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald, Mathieu Besançon, Sebastian Pokutta
We study the effects of constrained optimization formulations and Frank-Wolfe algorithms for obtaining interpretable neural network predictions. Reformulating the Rate-Distortion E…
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
Martin Genzel, Jan Macdonald, Maximilian März
This report is dedicated to a short motivation and description of our contribution to the AAPM DL-Sparse-View CT Challenge (team name: "robust-and-stable"). The task is to recover…