Efficient ensemble uncertainty estimation in Gaussian Processes Regression

Mads-Peter Verner Christiansen, Nikolaj Rønne, Bjørk Hammer

Reliable uncertainty measures are required when using data based machine learning interatomic potentials (MLIPs) for atomistic simulations. In this work, we propose for sparse Gaus…