ConceptNeural Process
Neural Process
A class of meta-learning models that can infer a predictive distribution from context data and output predictions for arbitrary query points. The joint predictive version can explicitly capture correlations between units.
Timeline (last 90 days)
Oct 19
The jointly predictive neural process model models the joint distribution of a group of units simultaneously and can inherently account for error correlations between units.
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