Scholar
Adrian Riekert
Google Scholar ID: avRgwfsAAAAJ
Postdoc, University of Münster
Deep Learning
Artificial Neural Networks
Applied Probability
Nonconvex Optimization
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Citations & Impact
All-time
Citations
290
H-index
10
i10-index
11
Publications
20
Co-authors
12
list available
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No contact links provided.
Publications
4 items
PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning
2025
Cited
0
Sharp higher order convergence rates for the Adam optimizer
2025
Cited
0
Non-convergence to the optimal risk for Adam and stochastic gradient descent optimization in the training of deep neural networks
2025
Cited
0
Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems
2025
Cited
0
Resume (English only)
Co-authors
12 total
Arnulf Jentzen
The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) & University of Münster
Steffen Dereich
University Münster
Shokhrukh Ibragimov
University of Münster
Patrick Cheridito
ETH Zurich
Florian Rossmannek
NTU Singapore
Philippe von Wurstemberger
ETH Zurich
Co-author 7
Co-author 8
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