GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data

Jens Petersen, Gregor Köhler, David Zimmerer +3

Neural Processes (NPs) are a family of conditional generative models that are able to model a distribution over functions, in a way that allows them to perform predictions at test…