Generative Models Regression
We use recently developed techniques in generative models, specifically normalizing flows, in regression and interpolation problems. This gives a probabilistic method which is both efficient and interpretable in nature. Possible extensions and applications of unsupervised learning in supervised tasks are discussed.
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