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    Chapter and Conference Paper

    CupNet – Pruning a Network for Geometric Data

    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 in a straightforward way.

    Raoul Heese, Lukas Morand, Dirk Helm… in Artificial Neural Networks and Machine Lea… (2021)

  2. No Access

    Chapter and Conference Paper

    The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge

    We address a non-unique parameter fitting problem in the context of material science

    Raoul Heese, Michał Walczak, Lukas Morand… in Artificial Neural Networks and Machine Lea… (2019)