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The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.01034v1 Announce Type: cross Abstract: The central flow of Cohen et al. (2025) is an empirically accurate continuous-time model of gradient descent at the edge of stability in deep learning, However, its derivation is heuristic. We propose a perturbative regime in which the central flow…

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  1. 2026-09-02 04:00 · arXiv stat.ML
    The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow

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