Pages that link to "Item:Q5093100"

The following pages link to Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions (Q5093100):

Displaying 21 items.

• Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
• Discrete gradient flow approximations of high dimensional evolution partial differential equations via deep neural networks (Q2108629) (← links)
• A method for representing periodic functions and enforcing exactly periodic boundary conditions with deep neural networks (Q2122243) (← links)
• APFOS-Net: asymptotic preserving scheme for anisotropic elliptic equations with deep neural network (Q2133559) (← links)
• Deep neural networks based temporal-difference methods for high-dimensional parabolic partial differential equations (Q2168314) (← links)
• A discontinuity capturing shallow neural network for elliptic interface problems (Q2675625) (← links)
• Space-time error estimates for deep neural network approximations for differential equations (Q2683168) (← 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)
• Neural network-based variational methods for solving quadratic porous medium equations in high dimensions (Q2699489) (← links)
• An Augmented Lagrangian Deep Learning Method for Variational Problems with Essential Boundary Conditions (Q5065200) (← links)
• Quantitative Approximation Results for Complex-Valued Neural Networks (Q5073921) (← links)
• A Deep Learning Method for Elliptic Hemivariational Inequalities (Q5074898) (← links)
• Approximations with deep neural networks in Sobolev time-space (Q5075578) (← links)
• A Local Deep Learning Method for Solving High Order Partial Differential Equations (Q5864768) (← links)
• Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs (Q6062166) (← links)
• Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations (Q6108133) (← links)
• Collocation approximation by deep neural ReLU networks for parametric and stochastic PDEs with lognormal inputs (Q6148127) (← links)
• DNN-HDG: a deep learning hybridized discontinuous Galerkin method for solving some elliptic problems (Q6158712) (← links)
• Subspace decomposition based DNN algorithm for elliptic type multi-scale PDEs (Q6162913) (← links)
• Automatic boundary fitting framework of boundary dependent physics-informed neural network solving partial differential equation with complex boundary conditions (Q6171169) (← links)