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cs.LG2019
Wasserstein Neural Processes
Andrew Carr, Jared Nielsen, David Wingate
Neural Processes (NPs) are a class of models that learn a mapping from a context set of input-output pairs to a distribution over functions. They are traditionally trained using ma…
cs.LG2019★ 4 cited
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew Carr, David Wingate
We introduce Graph Neural Processes (GNP), inspired by the recent work in conditional and latent neural processes. A Graph Neural Process is defined as a Conditional Neural Process…