Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows

arXiv:2602.13184v1 Announce Type: cross Abstract: Unbinned likelihood fits aim at maximizing the information one can extract from experimental data, yet their application in realistic statistical analyses is often hindered by the computational cost of profiling systematic unce...

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