ENFR recovers absolute Bayesian evidence using flow-matched references
Authors report better absolute-evidence estimates than a flow baseline and top density-estimation results on their benchmarks.
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Authors report better absolute-evidence estimates than a flow baseline and top density-estimation results on their benchmarks.
In cosmology lensing inference it produced the tightest posteriors when simulation count was held fixed.
Stein displacement fields estimate density ratios and distribution shift through one convex problem.
Researchers decompose normalizing flows to derive near-pivotal statistics for likelihood-free inference with nuisance parameters, recovering the t-test and beating Welch limits.
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