24 citations · 41 across the 5 of their papers we have counts for
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cs.LG2020
CupNet -- Pruning a network for geometric data
Raoul Heese, Lukas Morand, Dirk Helm +1
Using data from a simulated cup drawing process, we demonstrate how the inherent geometrical structure of cup meshes can be used to effectively prune an artificial neural network i…
cs.LG2019
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge
Raoul Heese, Michał Walczak, Lukas Morand +2
We address a non-unique parameter fitting problem in the context of material science. In particular, we propose to resolve ambiguities in parameter space by augmenting a black-box…