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

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.