| Int2Int: a framework for mathematics with transformers |
Number Theory, Transformer |
arXiv 2025 |
Code |
| Learning Euler factors of elliptic curves |
Number Theory, Transformer |
arXiv 2025 |
|
| Learning Fricke signs from Maass form Coefficients |
Number Theory, LDA |
arXiv 2025 |
|
| Machine Learning Approaches to the Shafarevich-Tate Group of Elliptic Curves |
Number Theory, Neural Network, Decision Tree |
IJDSMS 2024 |
Code |
| Machine learning class numbers of real quadratic fields |
Number Theory, Interpretability |
IJDSMS 2023 |
|
| Machine learning invariants of arithmetic curves |
Number Theory, Logistic Regression, Random Forest |
Journal of Symbolic Computation 2023 |
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| Machine Learning Number Fields |
Number Theory, Neural Network, Random Forest |
MCGD 2022 |
|
| Machine Learning the vanishing order of rational L-functions |
Number Theory, LDA, Neural Network |
arXiv 2025 |
|
| Machine-learning Sato-Tate conjecture |
Number Theory |
Journal of Symbolic Computation 2022 |
|
| Machines Learn Number Fields, But How? The Case of Galois Groups |
Number Theory, Logistic Regression, Decision Tree, Interpretability |
arXiv 2025 |
Code |
| Murmurations of Elliptic Curves |
Number Theory, PCA |
Experimental Mathematics 2024 |
Quanta |
| Predicting root numbers with neural networks |
Number Theory, RNN, CNN |
IJDSMS 2024 |
|
| Ranks of elliptic curves and deep neural networks |
Number Theory, CNN |
Research in Number Theory 2023 |
Code |
| Studying number theory with deep learning: a case study with the Möbius and squarefree indicator functions |
Number Theory, Transformer |
arXiv 2025 |
Code |