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Haizhang Zhang

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#machine learning Preprint Sep 2026

Neural Approximation by Function Composition: Rigidity and Doubly Exponential Convergence

A rigidity theorem is established: for continuous piecewise linear generators with a finite number of segments, any \(C^3\) function that can be represented in this way is at most quadratic, which demonstrates how generator dynamics and remainder estimates govern depth allocation and approximation rates of deep neural...

Wen-Tao Huang, Hai-Zhang Zhang · 0 citations
Preprint Aug 2026

Reliable Neural Collapse Approximation for Open-World Test-Time Adaptation

A new method named Reliable Neural Collapse approximation (ReNC) for Open-World Test-Time Adaptation (OWTTA) is introduced, leveraging neural collapse as a structural prior for reliable target-domain adaptation.

Jia-Qi Lin, Yuangang Pan, Chang-Ran Wang et al. · 0 citations

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