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Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
However, selecting appropriate prior information in a probabilistic inversion is crucial, yet non-trivial, as it influences the ability of a sampling-based inference in providing geological realism in the posterior samples.
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