Pages that link to "Item:Q2067309"
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The following pages link to Constructive deep ReLU neural network approximation (Q2067309):
Displaying 18 items.
- Learning constitutive relations from indirect observations using deep neural networks (Q781968) (← links)
- Constructive approximate interpolation by neural networks (Q817488) (← links)
- Efficient approximation of solutions of parametric linear transport equations by ReLU DNNs (Q2026114) (← links)
- DNN expression rate analysis of high-dimensional PDEs: application to option pricing (Q2117328) (← links)
- Adaptive two-layer ReLU neural network. I: Best least-squares approximation (Q2122629) (← links)
- ReLU deep neural networks from the hierarchical basis perspective (Q2159911) (← links)
- Relu Deep Neural Networks and Linear Finite Elements (Q3385667) (← links)
- Neural network approximation (Q5887830) (← links)
- Three ways to solve partial differential equations with neural networks — A review (Q6068232) (← links)
- Exponential ReLU neural network approximation rates for point and edge singularities (Q6101269) (← links)
- Optimal approximation of infinite-dimensional holomorphic functions (Q6151536) (← links)
- Approximation of compositional functions with ReLU neural networks (Q6161370) (← links)
- Provable Training of a ReLU Gate with an Iterative Non-Gradient Algorithm (Q6340320) (← links)
- Neural network expression rates and applications of the deep parametric PDE method in counterparty credit risk (Q6549602) (← links)
- Deep ReLU networks and high-order finite element methods. II: Chebyšev emulation (Q6585367) (← links)
- Neural and spectral operator surrogates: unified construction and expression rate bounds (Q6601288) (← links)
- Parametric shape holomorphy of boundary integral operators with applications (Q6621317) (← links)
- Approximation results for gradient flow trained shallow neural networks in \(1d\) (Q6648717) (← links)
