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Sara C. Billey

2 accepted papers

2025

Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics

ICML 2025oral

With recent dramatic increases in AI system capabilities, there has been growing interest in utilizing machine learning for reasoning-heavy, quantitative tasks, particularly mathematics. While there are many resources capturing mathematics at the high-school, undergraduate, and graduate level, there…

Cited by 0SourcePDFScholar
2025

Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes

ICML 2025poster

Machine learning is becoming an increasingly valuable tool in mathematics, enabling one to identify subtle patterns across collections of examples so vast that they would be impossible for a single researcher to feasibly review and analyze. In this work, we use graph neural networks to investigate q…

Cited by 3SourcePDFScholar