Proposes hybrid neural density estimation combining neural ratio estimation with flow-based models to address density normalization and efficient sampling in high-dimensional unbinned simulation-based inference.
NewSee LICENSE fileSimulation-Based InferenceNeural Density EstimationFlow Models
Proposes two ML-based calibration methods to correct electromagnetic shower feature discrepancies between Monte Carlo simulations and real collision data in the CMS calorimeter.
See LICENSE fileHigh-Energy PhysicsElectromagnetic ShowerDetector Calibration
