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Diffusion Models in Simulation-Based Inference: A Tutorial Review

Arruda, Jonas et al.
arXiv (All) · Papers
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machine-learningmethodology
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 distributions over parameters a
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