arXiv (All)
open access
Conditional Distribution Estimation Given Functional Covariates Using Deep Operator Networks
Functional linear models are commonly used for analyzing functional data with scalar responses, particularly for modeling the conditional mean of the response given functional covariates. In this work, we extend the traditional scalar-on-function regression in two major aspects: 1. estimating the co
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
- Improving Function Space Flow Matching with Kernel Optimal Transport#1142348
- Improving Function Space Flow Matching with Kernel Optimal Transport#1122299
- HiMAP: Hilbert Mass-Addressed Parameterization for Multivariate Barycenters and Frećhet Regression#984123
- Approximating Smooth Functionals with ReLU Networks#1048801
- Autoencoders in Function Space#799823
Record · ID 926241
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