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Jan Blechschmidt

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#machine learning Preprint Oct 2026

Flow Matching for Fast Posterior Sampling in Bayesian Inverse Problems

Sampling from the posterior is the central task of computational Bayesian inverse problems. The standard workhorse in Bayesian inference - Markov chain Monte Carlo (MCMC) - is sequential, yields correlated samples, and must be rerun for each observation. Conditional flow matching offers an amortized alternative: a tran...

Jan Blechschmidt, O. Ernst, Moritz Poguntke et al. · 0 citations

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