Machine Learning for Hilbert Series

Edward Hirst

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arXiv · 2203.06073

Machine Learning for Hilbert Series

Edward Hirst

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Abstract

Hilbert series are a standard tool in algebraic geometry, and more recently are finding many uses in theoretical physics. This summary reviews work applying machine learning to databases of them; and was prepared for the proceedings of the Nankai Symposium on Mathematical Dialogues, 2021.

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Edward Hirst. 2022-03-11. Machine Learning for Hilbert Series. https://arxiv.org/abs/2203.06073

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