Systematic uncertainties can be profiled in unbinned likelihood fits by factorizing the normalizing-flow transformation into per-nuisance linear-plus-quadratic terms and training amortized over the nuisance space.
Advancing Tools for Simulation-Based Inference.SciPost Phys
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Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows
Systematic uncertainties can be profiled in unbinned likelihood fits by factorizing the normalizing-flow transformation into per-nuisance linear-plus-quadratic terms and training amortized over the nuisance space.