Gregor Köhler

GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data

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 time conditioned on a number of context points. A recent addition to this family, Convolutional Conditional Neural Proce…