3 papers
cs.LG2026
CURED: Creating, Understanding, and Repairing Errors Demonstrator
Nicholas Chandler, Sebastian Jäger, Philipp Jung +1
Detecting and cleaning errors in tabular data is a prerequisite for data intense software applications. Recent research at the intersection of Machine Learning (ML) and Database Ma…
astro-ph.SR2026
Probabilistic neural network approach to determining parameters of eclipsing binaries
Marina Kounkel, Logan Sizemore, Hidemi Mitani Shen +7
Eclipsing binaries provide one of the most direct mechanisms for measuring stellar properties such as mass and radius, but historically, determining these properties has been non-t…
cs.LG2025
MechDetect: Detecting Data-Dependent Errors
Philipp Jung, Nicholas Chandler, Sebastian Jäger +1
Data quality monitoring is a core challenge in modern information processing systems. While many approaches to detect data errors or shifts have been proposed, few studies investig…