Pages that link to "Item:Q2026114"
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The following pages link to Efficient approximation of solutions of parametric linear transport equations by ReLU DNNs (Q2026114):
Displaying 20 items.
- Numerical solution of the parametric diffusion equation by deep neural networks (Q2049099) (← links)
- Model reduction and neural networks for parametric PDEs (Q2050400) (← links)
- POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition (Q2060079) (← links)
- CAS4DL: Christoffel adaptive sampling for function approximation via deep learning (Q2098302) (← links)
- Solving parametric partial differential equations with deep rectified quadratic unit neural networks (Q2103467) (← links)
- Solving the linear transport equation by a deep neural network approach (Q2129138) (← links)
- Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation (Q2132582) (← links)
- Computation and learning in high dimensions. Abstracts from the workshop held August 1--7, 2021 (hybrid meeting) (Q2693017) (← links)
- A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations (Q5058646) (← links)
- Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations (Q5873924) (← links)
- On the approximation of functions by tanh neural networks (Q6055124) (← links)
- Three ways to solve partial differential equations with neural networks — A review (Q6068232) (← links)
- Model-order reduction for hyperbolic relaxation systems (Q6082955) (← links)
- Exponential ReLU neural network approximation rates for point and edge singularities (Q6101269) (← links)
- Asymptotic-preserving neural networks for multiscale time-dependent linear transport equations (Q6158979) (← links)
- Neural network approximation and estimation of classifiers with classification boundary in a Barron class (Q6165247) (← links)
- Deep ReLU networks and high-order finite element methods. II: Chebyšev emulation (Q6585367) (← links)
- A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws (Q6586799) (← links)
- Error analysis for deep neural network approximations of parametric hyperbolic conservation laws (Q6590625) (← links)
- Approximation results for gradient flow trained shallow neural networks in \(1d\) (Q6648717) (← links)
