2021
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
ICML 2021spotlight
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. Considering general transformations such as rotations and reflections, we show that s…