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Phil Assheton

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#machine learning Preprint Sep 2026

Likelihood-free inference with nuisance parameters through normalizing flows

A simple decomposition of a neural-network-based normalizing flow that naturally uncovers a pivotal statistic in the presence of nuisance parameters, based only on a sample generator from the distribution of interest is presented.

Phil Assheton · 0 citations