arXiv (OAI Expanded)
open access
Sharp Sobolev Sandwich and Approximation Rates of Radon-Domain $L^p$ Ridge Integral Spaces for ReLU$^k$ Networks
We develop the $L^p$ space and approximation theory for shallow neural networks with $\mathrm{ReLU}^k$ activations. The central object is the Radon-domain $L^p$ space $\mathcal{R}L^p_k(Ω)$ containing all functions on a bounded domain $Ω$ that admit a ridge integral representation whose coefficient d
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Optimal Sobolev Approximation by Deterministic and Random Shallow Sigmoidal Networks#658912
- Optimal Sobolev Approximation by Deterministic and Random Shallow Sigmoidal Networks#656776
- On a higher-integrability estimate for Laplacians of convex solutions to the Monge-Ampère equation#1033986
- Robust Error Bounds for Vector-Valued Kernel Ridge Regression#1014037
- Sharp Poincaré interpolation along Wasserstein geodesics#820548
Record · ID 1122474
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive