Concepedia
Statistics
Publications
9
Citations
1K
H-Index
Active since
2010
Affiliations
University of Twente(Current)
University of Göttingen
Leiden University
Johannes Schmidt-Hieber is an author at University of Twente specializing in engineering, deep learning, and data science.
Top concepts
EngineeringDeep LearningData ScienceMachine LearningStatisticsComputer ScienceStatistical InferenceDeep Neural NetworksMachine VisionSpectral Theory
Publications per year
2010–2022
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber · 2020 · 603 citations · Full text
Relu Activation Function, Data Augmentation, Convolutional Neural Network +14
The Kolmogorov–Arnold representation theorem revisited
Johannes Schmidt-Hieber · University of Twente Research Information · 2021 · 211 citations · Full text
Spectral Theory, Infinite Dimensional Analysis, Engineering +16
Deep ReLU network approximation of functions on a manifold
Johannes Schmidt-Hieber · arXiv (Cornell University) · 2019 · 53 citations · Full text
Geometric Learning, Engineering, Machine Learning +11
Multiscale methods for shape constraints in deconvolution: Confidence statements for qualitative features
Johannes Schmidt-Hieber, Axel Munk, Lutz Dümbgen · The Annals of Statistics · 2013 · 51 citations · Full text
Engineering, Statistical Shape Analysis, Shape Analysis +27
Rejoinder: “Nonparametric regression using deep neural networks with ReLU activation function”
Johannes Schmidt-Hieber · The Annals of Statistics · 2020 · 23 citations · Full text
Data Augmentation, Deep Neural Networks, Engineering +7
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