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GenSBI: Generative Methods for Simulation-Based Inference in JAX

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arXiv:2605. 27499v1 Announce Type: new Abstract: Flow and diffusion generative models have established themselves as widely adopted density estimators for simulation-based inference (SBI), extending naturally from neural posterior estimation to likelihood and joint density estimation.