Simulation-Based Inference and Unbinned Asimov Construction with Hybrid Neural Density Estimation
ScientificML
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.
New See LICENSE file Simulation-Based InferenceNeural Density EstimationFlow Models