Empirical Risk Minimization over Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Linear Kolmogorov Partial Differential Equations with Unbounded Initial Functions. - Jichang Xiao; Xiaoqun Wang (CoRR, 2023)

Analysis of the Generalization Error of deep learning based on Randomized Quasi-Monte Carlo for Solving Linear Kolmogorov PDEs. - Jichang Xiao; Fengjiang Fu; Xiaoqun Wang (CoRR, 2023)

Generalization Error Analysis of Deep Backward Dynamic Programming for Solving Nonlinear PDEs. - Du Ouyang; Jichang Xiao; Xiaoqun Wang (CoRR, 2024)

Deep learning based on randomized quasi-Monte Carlo method for solving linear Kolmogorov partial differential equation. - Jichang Xiao; Fengjiang Fu; Xiaoqun Wang (J. Comput. Appl. Math., 2024)