Bayesian Inference with Generative Adversarial Network Priors

22 Jul 2019Dhruv PatelAssad A Oberai

Bayesian inference is used extensively to infer and to quantify the uncertainty in a field of interest from a measurement of a related field when the two are linked by a physical model. Despite its many applications, Bayesian inference faces challenges when inferring fields that have discrete representations of large dimension, and/or have prior distributions that are difficult to represent mathematically... (read more)

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