10 citations · 11 across the 2 of their papers we have counts for
2 papers
physics.data-an2025★ 10 cited
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
Kristian G. Barman, Sascha Caron, Emily Sullivan +19
This paper explores ideas and provides a potential roadmap for the development and evaluation of physics-specific large-scale AI models, which we call Large Physics Models (LPMs).…
cs.AI2024★ 1 cited
SIDEs: Separating Idealization from Deceptive Explanations in xAI
Emily Sullivan
Explainable AI (xAI) methods are important for establishing trust in using black-box models. However, recent criticism has mounted against current xAI methods that they disagree, a…