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Mesoscopic learning dynamics of extensive-width neural networks

Understanding how stochastic gradient descent learns internal representations in wide neural networks trained on rich target functions is a central problem in machine learning.

By Shu Zhou, Jean Barbier, Sebastian GoldtarXiv - stat.ML

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Originally published by arXiv - stat.ML on Oct 19, 2026.

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