Mind the Gap: Navigating Inference with Optimal Transport Maps
This paper introduces an optimal transport-based model calibration framework that resolves simulation-data discrepancies in high-dimensional particle physics simulations, enabling the unbiased application of powerful foundation models for tasks like jet tagging at the Large Hadron Collider.