awesome-ai-for-math

Neural Network papers

Title Subject(s) Venue & Year Links & Resources
An algorithm for Aubert-Zelevinsky duality à la Mœglin-Waldspurger Representation Theory, Neural Network arXiv 2025 Code
Hilbert series, machine learning, and applications to physics Algebraic Geometry, Mathematical Physics, Neural Network Physics Letters B 2024 Code
Interpretable Machine Learning for Kronecker Coefficients Representation Theory, Neural Network, Symbolic Regression, PCA, Transformer arXiv 2025
Machine Learning Approaches to the Shafarevich-Tate Group of Elliptic Curves Number Theory, Neural Network, Decision Tree IJDSMS 2024 Code
Machine Learning Kreuzer–Skarke Calabi–Yau Threefolds Mathematical Physics, Algebraic Geometry, Neural Network arXiv 2025
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
Searching for ribbons with machine learning Geometry, Bayesian Optimization, RL, Neural Network Machine Learning Science and Technology 2025 Code