×
Author ID: riekert.adrian Recent zbMATH articles by "Riekert, Adrian"
Published as: Riekert, Adrian
Documents Indexed: 11 Publications since 2022, including 6 Additional arXiv Preprints
Co-Authors: 12 Co-Authors with 9 Joint Publications
224 Co-Co-Authors

Citations contained in zbMATH Open

4 Publications have been cited 9 times in 8 Documents Cited by Year
A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions. Zbl 1502.65037
Cheridito, Patrick; Jentzen, Arnulf; Riekert, Adrian; Rossmannek, Florian
4
2022
Convergence rates for empirical measures of Markov chains in dual and Wasserstein distances. Zbl 1496.60005
Riekert, Adrian
2
2022
A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions. Zbl 07575573
Jentzen, Arnulf; Riekert, Adrian
2
2022
Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation. Zbl 07595126
Jentzen, Arnulf; Riekert, Adrian
1
2023
Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation. Zbl 07595126
Jentzen, Arnulf; Riekert, Adrian
1
2023
A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions. Zbl 1502.65037
Cheridito, Patrick; Jentzen, Arnulf; Riekert, Adrian; Rossmannek, Florian
4
2022
Convergence rates for empirical measures of Markov chains in dual and Wasserstein distances. Zbl 1496.60005
Riekert, Adrian
2
2022
A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions. Zbl 07575573
Jentzen, Arnulf; Riekert, Adrian
2
2022