1.4k citations · 5.1k across the 32 of their papers we have counts for
Showing 2017 · stat.MLShow all
2 papers · 2 filters
stat.ML2017
Parametric Gaussian Process Regression for Big Data
Maziar Raissi
This work introduces the concept of parametric Gaussian processes (PGPs), which is built upon the seemingly self-contradictory idea of making Gaussian processes parametric. Paramet…
stat.ML2017★ 16 cited
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Maziar Raissi, Paris Perdikaris, George Em Karniadakis
We introduce the concept of numerical Gaussian processes, which we define as Gaussian processes with covariance functions resulting from temporal discretization of time-dependent p…