Nick Heilenkötter
Analysis, Algorithms, Applications Publikationen Zeitschriftenartikel D. Nganyu Tanyu, J. Ning, T. Freudenberg, N. Heilenkötter, A. Rademacher, U. Iben, P. Maaß. Deep learning methods for partial differential [...] 2023. DOI: 10.1088/1361-6420/ace9d4 J. Le’Clerc Arrastia, N. Heilenkötter, D. Otero Baguer, L. Hauberg-Lotte, T. Boskamp, S. Hetzer, N. Duschner, J. Schaller, P. Maass. Deeply Supervised UNet for Semantic [...] https://www.x-mol.net/paper/article/1682514725633245184 Derick Nganyu Tanyu, Jianfeng Ning, Tom Freudenberg, Nick Heilenkötter, Andreas Rademacher, Uwe Iben, Peter Maass Deep Learning Methods for Partial