Searching for ribbons with machine learning

Sergei Gukov; James Halverson; Ciprian Manolescu; Fabian Ruehle

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arXiv · 2304.09304

Searching for ribbons with machine learning

Sergei Gukov·James Halverson·Ciprian Manolescu·Fabian Ruehle

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Abstract

We apply Bayesian optimization and reinforcement learning to a problem in topology: the question of when a knot bounds a ribbon disk. This question is relevant in an approach to disproving the four-dimensional smooth Poincar\'e conjecture; using our programs, we rule out many potential counterexamples to the conjecture. We also show that the programs are successful in detecting many ribbon knots in the range of up to 70 crossings.

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Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle. 2023-04-18. Searching for ribbons with machine learning. https://arxiv.org/abs/2304.09304

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