Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems. - Derick Nganyu Tanyu; Jianfeng Ning; Tom Freudenberg; Nick Heilenkötter; Andreas Rademacher; Uwe Iben; Peter Maass (CoRR, 2022)

Parameter Identification by Deep Learning of a Material Model for Granular Media. - Derick Nganyu Tanyu; Isabel Michel; Andreas Rademacher; Jörg Kuhnert; Peter Maass (CoRR, 2023)

Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches. - Derick Nganyu Tanyu; Jianfeng Ning; Andreas Hauptmann; Bangti Jin; Peter Maass (CoRR, 2023)

On the Interplay between Deep Learning, Partial Differential Equations and Inverse Problems - Derick Nganyu Tanyu (2023)