AI RESEARCH
APIC: Amortized Physics-Informed Calibration using Neural Processes
arXiv CS.LG
•
ArXi:2606.03355v1 Announce Type: new Physics models are inherently imperfect due to misspecified or missing mechanisms, resulting in systematic discrepancies between model predictions and real-world observations. The Kennedy-O'Hagan (KOH) framework addresses this issue through explicit discrepancy modeling. However, its non-amortized, per-instance formulation limits scalability across families of related systems. We