Machine learning approaches to the Shafarevich–Tate group of elliptic curves

This is a report on the talk of the same name given at the workshop Murmurations in Arithmetic Geometry and Related Topics, held at the Simons Center for Geometry and Physics in Stony Brook, NY from November 11th–15th, 2024. The full paper will appear in the proceedings of the Mathematics and Machine learning program held at the Center for Mathematical Science and Applications (CMSA) at Harvard University.

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Publication Details

Journal
International Journal of Data Science in the Mathematical Sciences
Published
2025-06-12
DOI
https://doi.org/10.1142/s2810939225400015
Citations
2
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.67
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article

Machine learning approaches to the Shafarevich–Tate group of elliptic curves

A.C.M. Fong, Angelica Babei, Xiaoyu Huang, Barinder S. Banwait et al.
2 citations
International Journal of Data Science in the Mathematical Sciences
Advanced Numerical Analysis Techniques
2.67
article

Machine learning approaches to the Shafarevich–Tate group of elliptic curves

A.C.M. Fong, Angelica Babei, Xiaoyu Huang, Barinder S. Banwait, Deependra Singh
article en
2 citations

Abstract

This is a report on the talk of the same name given at the workshop Murmurations in Arithmetic Geometry and Related Topics, held at the Simons Center for Geometry and Physics in Stony Brook, NY from November 11th–15th, 2024. The full paper will appear in the proceedings of the Mathematics and Machine learning program held at the Center for Mathematical Science and Applications (CMSA) at Harvard University.

International Journal of Data Science in the Mathematical SciencesVol. 03(02)
Boston University (US), Howard University (US), Emory University (US), University of Waterloo (CA), Massachusetts Institute of Technology (US), Temple University (US)
Openalex Percentile: Top 12%
Advanced Numerical Analysis Techniques
2.67
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