Sean Perkins

Deep Random Splines for Point Process Intensity Estimation of Neural Population Data

Gaussian processes are the leading class of distributions on random functions, but they suffer from well known issues including difficulty scaling and inflexibility with respect to certain shape constraints (such as nonnegativity). Here we propose Deep Random Splines, a flexible class of random func…