( en | de | ru )

 

Disambiguation of "Jentzen, Arnulf"

Author of the publication

copydeleteadd this publication to your clipboard
Deep neural network approximations for Monte Carlo algorithms

, , and . (2019)cite arxiv:1908.10828Comment: 45 pages.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Arnulf Jentzen

Richard Jentzen

Walter Jentzen

Volker Jentzen

Richard Jentzen

 

Other publications of authors with the same name

An overview on deep learning-based approximation methods for partial differential equations., , , and . CoRR, (2020)On the existence of minimizers in shallow residual ReLU neural network optimization landscapes., , and . CoRR, (2023)An Exponential Wagner-Platen Type Scheme for SPDEs., , and . SIAM J. Numer. Anal., 54 (4): 2389-2426 (2016)Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations., , and . CoRR, (2017)An Improved Maximum Allowable Transfer Interval for Lp -Stability of Networked Control Systems., , , , and . IEEE Trans. Automat. Contr., 55 (1): 179-184 (2010)Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality., , , and . J. Complex., (August 2023)Overcoming the curse of dimensionality in the numerical approximation of parabolic partial differential equations with gradient-dependent nonlinearities., , and . CoRR, (2019)Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning rates., , and . CoRR, (2024)Convergence rates for the Adam optimizer., and . CoRR, (2024)Exponential moment bounds and strong convergence rates for tamed-truncated numerical approximations of stochastic convolutions., , and . Numer. Algorithms, 85 (4): 1447-1473 (2020)