Author

Kyum Kim

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#machine learning Oct 2025

DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses

A universal approximation theorem is established for DFNNs, advancing the state-of-the-art of neural network approximation theory to general metric-space-valued responses, without making model assumptions or relying on local smoothing.

Kyum Kim, Yaqing Chen, Paromita Dubey · arXiv.org · 3 citations