3 papers
astro-ph.IM2026
Astro2Method: Benchmarking LLMs on Machine Learning Method Selection in Astronomy
Xingzhong Fan, Hangfeng He, Fatemeh Nargesian
Machine learning (ML) is increasingly used in astronomy, but choosing a suitable method for a scientific problem often requires expertise in both astronomy and ML. Large language m…
cs.DB2023
Sampling over Union of Joins
Yurong Liu, Yunlong Xu, Fatemeh Nargesian
Data scientists often draw on multiple relational data sources for analysis. A standard assumption in learning and approximate query answering is that the data is a uniform and ind…
physics.data-an2022
TSUBASA: Climate Network Construction on Historical and Real-Time Data
Yunlong Xu, Jinshu Liu, Fatemeh Nargesian
A climate network represents the global climate system by the interactions of a set of anomaly time-series. Network science has been applied on climate data to study the dynamics o…