CVAE-derived, narrowed priors accelerate nested-sampling parameter estimation for massive black hole binaries by roughly 6x while keeping posteriors statistically consistent.
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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder
CVAE-derived, narrowed priors accelerate nested-sampling parameter estimation for massive black hole binaries by roughly 6x while keeping posteriors statistically consistent.