2 papers
stat.ML2026
On the Uncertainty Quantification Ability of Tabular Foundation Models
Tyler R. Johnson, Kian Ben-Jacob, Nima Negarandeh +2
Foundation models (FMs) have achieved substantial success in generalizing across tasks without problemspecific training or fine-tuning. However, many critical applications in mecha…
cs.LG2025
Should We Simultaneously Calibrate Multiple Computer Models?
Jonathan Tammer Eweis-Labolle, Tyler Johnson, Xiangyu Sun +1
In an increasing number of applications designers have access to multiple computer models which typically have different levels of fidelity and cost. Traditionally, designers calib…