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stat.CO2026
Jensen-Bregman split Gibbs sampling
Nicolas Dobigeon, Mame Diarra Fall, Eric Barat
Split Gibbs sampling (SGS) is a versatile tool to sample from complex posterior distributions, such as those arising in imaging inverse problems. However, existing SGS instances ar…
stat.ME2026
Bridging data-driven priors via the score function for posterior sampling -- Comparative review and experimental study
Elhadji Cisse Faye, Mame Diarra Fall, Sylvain Delchini +1
This paper reviews how a diverse set of popular data-driven priors commonly used in Bayesian inverse problems can be unified through their respective score functions. By framing th…