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Generative Gibbs sampling: Composing generative models with explicit physical context
Generative models are powerful when training data for the target distribution are available, but in scientific computing the target is often a joint system for which no such data exist. We propose Generative Gibbs Sampling, a framework that decomposes the joint system into subsystems, trains a generative model on each, and composes these pretrained…
Link to Video :https://www.technology-in-business.net/generative-gibbs-sampling-composing-generative-models-with-explicit-physical-context/
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