2 papers
physics.data-an2026
Simulation-Based Inference and Unbinned Asimov Construction with Hybrid Neural Density Estimation
Rafael Coelho Lopes de Sa, Jay Sandesara
High-dimensional, unbinned neural simulation-based inference often relies on neural ratio estimation, which uses expressive supervised models to estimate density ratios, but a lear…
physics.data-an2026
Finite Asimov Sample Construction in Unbinned Neural Simulation-Based Inference
Rafael Coelho Lopes de Sa, Jay Sandesara
Expected sensitivity calculations in frequentist analysis using neural simulation-based inference often require large simulated samples to approximate an unbinned Asimov dataset. W…