Machine Generalize Learning in Agent-Based Models: Going Beyond Surrogate Models for Calibration in ABMs
arXiv:2509.07013v2 Announce Type: replace
Abstract: Calibrating agent-based epidemic models is computationally demanding. We present a supervised machine learning calibrator that learns the inverse mapping from epidemic time series to SIR parameters. …