Cambridge, Google & Secondmind’s Neural Diffusion Processes Challenge Gaussian Processes for Describing Rich Distributions Over Functions

While researchers have traditionally employed Gaussian processes (GP) for specifying prior and posterior distributions over functions, this approach becomes computationally expensive when scaled, is limited by the expressivity of its covariance function, and…