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#machine learning Preprint Oct 2026

Gaussian Universality and Its Breakdown in Tensor-Network Machine Learning

Gaussian-process limits are powerful in describing overparameterized machine learning models, yet their validity in structured tensor-network architectures remains unclear. Here we analytically present a moment-based approach that identifies precise conditions for the emergence and breakdown of Gaussian universality in...

Shi-Tuan Wang, Zi-Du Liu, Li-Wei Yu · 0 citations

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