( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Deep neural network approximations for Monte Carlo algorithms

, , и . (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.

Arnulf Jentzen

Richard Jentzen

Walter Jentzen

Volker Jentzen

Richard Jentzen

 

Другие публикации лиц с тем же именем

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