Author:
Naito Riu,Yamada Toshihiro
Funder
Japan Science and Technology Agency
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Reference40 articles.
1. Arora, R., Basu, A., Mianjy, P., & Mukherjee, A. (2018). Understanding deep neural networks with rectified linear units. ICLR.
2. Beck, C., Becker, S., Grohs, P., Jaafari, N., & Jentzen, A. (2021). Solving stochastic differential equations and Kolmogorov equations by means of deep learning. Journal of Scientific Computing, 88, 1–28.
3. Beck, C., Becker, S., Cheridito, P., Jentzen, A., & Neufeld, A. (2021). Deep splitting method for parabolic PDEs. SIAM Journal on Scientific Computing, 43(5), 3135–3154.
4. Berner, J., Grohs, P., & Jentzen, A. (2020). Analysis of the generalization error: Empirical risk minimization over deep artificial neural networks overcomes the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations. SIAM Journal on Mathematics of Data Science, 2(3), 631–657.
5. Calin, O. (2020). Deep learning architectures. Springer.
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