3 papers
cs.AI2026
Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
Tianyu Liu, Allen Xin Wang, Antonia Panescu +30
AI agents are increasingly being developed to accelerate scientific discovery, yet their practical capabilities in real research settings remain poorly understood. Existing benchma…
stat.ME2026
Bayesian Global Fréchet Regression via Weak Conditional Expectations
Simon Fontaine, Bing Li, Lingzhou Xue
Fréchet regression provides a versatile framework for modeling responses in metric spaces with Euclidean predictors, yet current methodologies rely almost exclusively on frequentis…
stat.ME2024
High-dimensional log contrast models with measurement errors
Wenxi Tan, Lingzhou Xue, Songshan Yang +1
High-dimensional compositional data are frequently encountered in many fields of modern scientific research. In regression analysis of compositional data, the presence of covariate…