Approximation properties of hybrid shearlet-wavelet frames for Sobolev spaces. - Philipp Petersen; Mones Raslan (Adv. Comput. Math., 2019)

A Theoretical Analysis of Deep Neural Networks and Parametric PDEs. - Gitta Kutyniok; Philipp Petersen; Mones Raslan; Reinhold Schneider (CoRR, 2019)

Anisotropic multiscale systems on bounded domains. - Philipp Grohs; Gitta Kutyniok; Jackie Ma; Philipp Petersen; Mones Raslan (Adv. Comput. Math., 2020)

Expressivity of Deep Neural Networks. - Ingo Gühring; Mones Raslan; Gitta Kutyniok (CoRR, 2020)

Topological Properties of the Set of Functions Generated by Neural Networks of Fixed Size. - Philipp Petersen; Mones Raslan; Felix Voigtländer (Found. Comput. Math., 2021)

Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. - Moritz Geist; Philipp Petersen; Mones Raslan; Reinhold Schneider; Gitta Kutyniok (J. Sci. Comput., 2021)

Approximation rates for neural networks with encodable weights in smoothness spaces. - Ingo Gühring; Mones Raslan (Neural Networks, 2021)

Deep Learning based Forecasting: a case study from the online fashion industry. - Manuel Kunz; Stefan Birr; Mones Raslan; Lei Ma; Zhen Li; Adèle Gouttes; Mateusz Koren; Tofigh Naghibi; Johannes Stephan; Mariia Bulycheva; Matthias Grzeschik; Armin Kekic; et al. (CoRR, 2023)