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0111 · Mar 202119922001200920172026
2 results for PnP-ULA

Develops algorithms for Bayesian inference with Plug & Play priors, ensuring convergence and well-posedness.

problem Bayesian imaging inverse problems with implicit priors defined by denoising algorithms.
method Introduces PnP-ULA and PnP-SGD algorithms for Monte Carlo sampling and MAP inference, proving convergence under realistic assumptions.
result Proves convergence of PnP-ULA and PnP-SGD algorithms for Bayesian inference with PnP priors, targeting a well-posed decision-theoretic model.