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Fractal basin geometry proposed as explanation for deep learning's unpredictability

This story is from 2026-11-05. It is preserved in the archive; the latest stories are on the live feed.

A Nature Machine Intelligence paper by Ly and Gong proposes fractal basin geometry as an explanation for why deep learning outcomes are hard to predict and reproduce, published online 5 November 2026.

Read the full story at Nature Machine Intelligence ↗

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  1. 2026-11-05 00:00 · Nature Machine Intelligence
    Fractal basin geometry and the limits to predictability and reproducibility in deep learning

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