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Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
We compare our method (parOT) to related optimal transport approaches in the context of domain adaptation and domain translation on benchmark data sets.
Generative structured normalizing flow Gaussian processes applied to spectroscopic data
In particular, in the physical sciences, limited training data may not adequately characterize future observed data; it is critical that models adequately indicate uncertainty, particularly when they may be asked to extrapolate.
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