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News/Do Flatter Minima Drive Better Generalization? An Algorithmic Separation in Grokking
arxiv
PublishedOctober 9, 2026 at 4:00 AM

Do Flatter Minima Drive Better Generalization? An Algorithmic Separation in Grokking

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arXiv:2610.11206v1 Announce Type: new Abstract: Flat loss landscapes have long been linked to better generalization in neural networks. However, its role as a causal mechanism for generalization is less established. Grokking provides an unique testbed to understand this distinction: models are prone

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