arXiv stat.ML
· Papers
Diffusion Models in Simulation-Based Inference: A Tutorial Review
arXiv:2512.20685v3 Announce Type: replace Abstract: Diffusion models have recently emerged as powerful learners for simulation-based inference (SBI), enabling fast and accurate estimation of latent parameters from simulated and real data. Their score-based formulation offers a flexible way to learn conditional or joint