2026
Diffusion posterior sampling for simulation-based inference in tall data settings
ICML 2026poster
Identifying the parameters of a non-linear model that best explain observed data is a core task across scientific fields. When such models rely on complex simulators, evaluating the likelihood is typically intractable, making traditional inference methods such as MCMC inapplicable. Simulation-based …