Neural LoFi models deep learning as layer-wise spectral filtering that selects maximal low-degree correlations, yielding a tractable surrogate for hierarchical representation learning beyond the lazy regime.
arXiv preprint arXiv:2512.03325 , year=
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This review synthesizes representative advances in high-dimensional statistics, highlights common themes and open problems, and points to key entry works.
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