Machine Learning for Hilbert Series

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.

Paper

References (63)

Scroll for more · 38 remaining

Similar papers

© 2026 NYSGPT2525 LLC