Ingo Gühring

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Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU MunichVerified email at math.lmu.de
Philipp PetersenUniversity of ViennaVerified email at univie.ac.at
Mones RaslanApplied Scientist at ZalandoVerified email at zalando.de
Martin GenzelStaff Machine Learning Reseacher, Merantix MomentumVerified email at merantix-momentum.com
Maximilian MärzTechnische Universität BerlinVerified email at math.tu-berlin.de
Jan MacdonaldTechnische Universität BerlinVerified email at math.tu-berlin.de
Cosmas HeißTU BerlinVerified email at math.tu-berlin.de
Martin EigelWeierstrass Institute for Applied Analysis and Stochastics BerlinVerified email at wias-berlin.de

Ingo Gühring

Applied Scientist, AWS

Verified email at math.tu-berlin.de - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Error bounds for approximations with deep ReLU neural networks in norms I Gühring, G Kutyniok, P Petersen Analysis and Applications 18 (05), 803-859, 2020	189	2020
Approximation rates for neural networks with encodable weights in smoothness spaces I Gühring, M Raslan Neural Networks 134, 107-130, 2020	77	2020
Expressivity of deep neural networks I Gühring, M Raslan, G Kutyniok arXiv preprint arXiv:2007.04759, 2020	62	2020
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning M Genzel, I Gühring, J Macdonald, M März International Conference on Machine Learning (ICML), 2022	22	2022
A neural multilevel method for high-dimensional parametric PDEs C Heiß, I Gühring, M Eigel NeurIPS workshop on The Symbiosis of Deep Learning and Differential …, 2021	6	2021
Multilevel CNNs for Parametric PDEs C Heiß, I Gühring, M Eigel Journal of Machine Learning Research 24 (373), 1--42, 2023	3	2023
Approximation with Neural Networks from a Theoretical and Practical Perspective I Gühring TU Berlin, Institut für Softwaretechnik und Theoretische Informatik, 2022		2022
Near-Exact Recovery for Sparse-View CT via Data-Driven Methods M Genzel, I Gühring, J Macdonald, M Maximilian NeurIPS workshop on Deep Learning and Inverse Problems, 2021		2021
Eigenvalues in gaps of G-selfadjoint operators in Almost Pontryagin spaces I Gühring Technische Universität Berlin, 2017		2017

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