Steffen Dereich
Scholar

Steffen Dereich

Google Scholar ID: n3Zf_AYAAAAJ
University Münster
ProbabilityMachine Learning
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Citations & Impact
All-time
Citations
956
 
H-index
16
 
i10-index
26
 
Publications
20
 
Co-authors
9
list available
Contact
No contact links provided.
Publications
8 items
Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
2026
Cited
0
Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer
2025
Cited
0
ODE approximation for the Adam algorithm: General and overparametrized setting
2025
Cited
0
SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures
2025
Cited
0
Sharp higher order convergence rates for the Adam optimizer
2025
Cited
0
In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods
2025
Cited
0
Mathematical analysis of the gradients in deep learning
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
9 total
Co-author 1
Co-author 1
Sebastian Kassing
Sebastian Kassing
TU Berlin
Arnulf Jentzen
Arnulf Jentzen
The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) & University of Münster
Lukasz Szpruch
Lukasz Szpruch
University of Edinburgh and The Alan Turing Institute
Co-author 5
Co-author 5
Co-author 6
Co-author 6
Co-author 7
Co-author 7
Co-author 8
Co-author 8