Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms. - Ingo Gühring; Gitta Kutyniok; Philipp Petersen (CoRR, 2019)

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

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

Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning. - Martin Genzel; Ingo Gühring; Jan MacDonald; Maximilian März (ICML, 2022)

Multilevel CNNs for Parametric PDEs. - Cosmas Heiß; Ingo Gühring; Martin Eigel (J. Mach. Learn. Res., 2023)

Reasoning and Planning with Large Language Models in Code Development. - Hao Ding 003; Ziwei Fan 001; Ingo Gühring; Gaurav Gupta; Wooseok Ha; Jun Huan; Linbo Liu; Behrooz Omidvar-Tehrani; Shiqi Wang 002; Hao Zhou 036 (KDD, 2024)