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K\"ahler landscapes for complex neural network descents and guarantees including a search and destroy of the Calabi-Yau manifold

arXiv cs.LG ↗ · 2026-08-21 Cached

This paper explores optimization landscapes in complex neural networks using Kähler geometry and information manifolds, providing theoretical guarantees on descent paths and analyzing effects of Calabi-Yau metrics.

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