关注
Ingo Gühring
Ingo Gühring
Applied Scientist, AWS
在 math.tu-berlin.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1992020
Approximation rates for neural networks with encodable weights in smoothness spaces
I Gühring, M Raslan
Neural Networks 134, 107-130, 2020
862020
Expressivity of deep neural networks
I Gühring, M Raslan, G Kutyniok
arXiv preprint arXiv:2007.04759, 2020
642020
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
252022
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
72021
Multilevel CNNs for Parametric PDEs
C Heiß, I Gühring, M Eigel
Journal of Machine Learning Research 24 (373), 1--42, 2023
52023
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
系统目前无法执行此操作,请稍后再试。
文章 1–9