Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes

1 code implementation • 25 Nov 2020 • Peter Holderrieth, Michael Hutchinson, Yee Whye Teh

Motivated by objects such as electric fields or fluid streams, we study the problem of learning stochastic fields, i. e. stochastic processes whose samples are fields like those occurring in physics and engineering.

Gaussian Processes Transfer Learning