72 citations · 112 across the 9 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
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.CV2019★ 3 cited
Video Extrapolation with an Invertible Linear Embedding
Robert Pottorff, Jared Nielsen, David Wingate
We predict future video frames from complex dynamic scenes, using an invertible neural network as the encoder of a nonlinear dynamic system with latent linear state evolution. Our…
cs.LG2019
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…