Author

Zengxun Li

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Jul 2026

On Explicit Super-Expressive Approximation for Neural Networks

The Chinese Remainder Theorem is introduced by introducing the Chinese Remainder Theorem as a constructive encoding mechanism for fixed-architecture neural network approximation with explicit parameter bounds and elementary activations.

Feng-Lei Fan, Zengxun Li, Chenyu Wang et al. · arXiv.org · 0 citations