A curated list of awesome papers on AI for Mathematics.
| Title | Subject(s) | Venue & Year | Links & Resources |
|---|---|---|---|
| Machine Learning Approaches to the Shafarevich-Tate Group of Elliptic Curves | Number Theory, Neural Network, Decision Tree | IJDSMS 2024 | Code |
| Machine Learning Number Fields | Number Theory, Neural Network, Random Forest | MCGD 2022 | |
| Machine learning Sasakian G2 topology on contact Calabi-Yau 7-manifolds | Mathematical Physics, Neural Network | Physics Letters B 2024 | Code |
| Machine Learning the vanishing order of rational L-functions | Number Theory, LDA, Neural Network | arXiv 2025 | |
| Neural network approximations for Calabi-Yau metrics | Mathematical Physics, Neural Network | JHEP 2022 |