A transformer-based diffusion model learns the joint distribution of convergence maps and cosmology from log-normal weak lensing simulations and generates calibrated posterior samples matching MCMC results.
Posteriorsamplesofsourcegalaxiesinstronggravitationallenseswithscore-based priors.CoRR, abs/2211.03812
4 Pith papers cite this work, alongside 11 external citations. Polarity classification is still indexing.
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MIRA is a new analytic score for conditional distribution accuracy derived from equal probability mass assignment, enabling Bayesian model comparison via direct posterior validation.
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