Interpretable ML on Dedekind zeta coefficients yields new mathematical criteria for classifying Galois groups of low-degree extensions over Q.
Machine learning of Calabi-Yau volumes.Physical Review D 96, 6 (2017), 066014
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Machines Learn Number Fields, But How? The Case of Galois Groups
Interpretable ML on Dedekind zeta coefficients yields new mathematical criteria for classifying Galois groups of low-degree extensions over Q.