PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference

ArXi:2510.13763v2 Announce Type: replace-cross Amortized simulator-based inference offers a powerful framework for tackling Bayesian inference in computational fields such as engineering or neuroscience, increasingly leveraging modern generative methods like diffusion models to map observed data to model parameters or future predictions. These approaches yield posterior or posterior-predictive samples for new datasets without requiring further simulator calls after