Pages that link to "Item:Q2152480"

The following pages link to Deep neural network approximations for solutions of PDEs based on Monte Carlo algorithms (Q2152480):

Displaying 17 items.

• Self-adaptive deep neural network: numerical approximation to functions and PDEs (Q2133768) (← links)
• Overcoming the curse of dimensionality in the numerical approximation of parabolic partial differential equations with gradient-dependent nonlinearities (Q2162115) (← links)
• Approximation properties of residual neural networks for Kolmogorov PDEs (Q2697245) (← links)
• An overview on deep learning-based approximation methods for partial differential equations (Q2697278) (← links)
• A QMC-Deep Learning Method for Diffusivity Estimation in Random Domains (Q4996838) (← links)
• Hybrid method based on neural networks and Monte Carlo simulation in view of a tradeoff between accuracy and computational time (Q5079831) (← links)
• Unbiased Deep Solvers for Linear Parametric PDEs (Q5093244) (← links)
• Deep learning-based approximation of Goldbach partition function (Q5101877) (← links)
• A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations (Q5889064) (← links)
• Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs (Q6062166) (← links)
• Deep learning methods for partial differential equations and related parameter identification problems (Q6070739) (← links)
• Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation (Q6107984) (← links)
• Lower bounds for artificial neural network approximations: a proof that shallow neural networks fail to overcome the curse of dimensionality (Q6155895) (← links)
• Deep Weak Approximation of SDEs: A Spatial Approximation Scheme for Solving Kolmogorov Equations (Q6173002) (← links)
• Mobility Estimation for Langevin Dynamics Using Control Variates (Q6178098) (← links)
• Strong overall error analysis for the training of artificial neural networks via random initializations (Q6617376) (← links)
• Overcoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equations (Q6645961) (← links)