Machine Learning for Hilbert Series
arXiv:2203.06073
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.
Prepared for the proceedings of the Nankai Symposium on Mathematical Dialogues, 2021; 9 pages, 3 figures