Langevin Monte Carlo driven by a localized, structurally regularized, debiased score-matching network approximates intractable posteriors with fewer simulations and tighter intervals than standard SBI methods.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Simulation-based Inference via Langevin Dynamics with Score Matching
Langevin Monte Carlo driven by a localized, structurally regularized, debiased score-matching network approximates intractable posteriors with fewer simulations and tighter intervals than standard SBI methods.