Pages that link to "Item:Q2226529"
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The following pages link to Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels (Q2226529):
Displaying 11 items.
- Generalization error of GAN from the discriminator's perspective (Q2071033) (← links)
- Representation formulas and pointwise properties for Barron functions (Q2113295) (← links)
- Neural network regression for Bermudan option pricing (Q2239248) (← links)
- Kolmogorov n-width and Lagrangian physics-informed neural networks: a causality-conforming manifold for convection-dominated PDEs (Q2678525) (← links)
- Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks (Q5081927) (← links)
- Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations (Q5873924) (← links)
- A class of dimension-free metrics for the convergence of empirical measures (Q6072907) (← links)
- A priori generalization error analysis of two-layer neural networks for solving high dimensional Schrödinger eigenvalue problems (Q6076649) (← links)
- Harmonic analysis of network systems via kernels and their boundary realizations (Q6160662) (← links)
- Kolmogorov Width Decay and Poor Approximators in Machine Learning: Shallow Neural Networks, Random Feature Models and Neural Tangent Kernels (Q6341191) (← links)
- Embeddings between Barron spaces with higher-order activation functions (Q6657423) (← links)
