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
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
Co-authors
10 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
Lukas Gonon
University of St. Gallen
Siyu Liang
Nanjing University of Science and Technology
