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News/A Theory of Saddle Escape in Deep Nonlinear Networks
arxiv
PublishedJune 24, 2026 at 4:00 AM
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A Theory of Saddle Escape in Deep Nonlinear Networks

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arXiv:2605.01288v3 Announce Type: replace Abstract: In deep networks with small initialization, training exhibits long plateaus separated by sharp feature-acquisition transitions. Whereas shallow nonlinear networks and deep linear networks are well studied, extending these analyses to deep nonlinear

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