An approach to construct a three-dimensional isogeometric model from μ-CT scan data with an application to the bridge of a violin. - Sandra Marschke; Linus Wunderlich; Wolfgang Ring; Klaus Achterhold; Franz Pfeiffer (Comput. Aided Geom. Des., 2020)

Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model. - Christoph Schlembach; Sascha L. Schmidt; Dominik Schreyer; Linus Wunderlich (CoRR, 2020)

Machine Learning for Business Students: An Experiential Learning Approach. - Linus Wunderlich; Allen Higgins; Yossi Lichtenstein (ITiCSE (1), 2021)

The deep parametric PDE method and applications to option pricing. - Kathrin Glau; Linus Wunderlich (Appl. Math. Comput., 2022)

Neural network expression rates and applications of the deep parametric PDE method in counterparty credit risk. - Kathrin Glau; Linus Wunderlich (Ann. Oper. Res., 2024)