Cite

    Manzhos, S. et al. (2022). Easy representation of multivariate functions with low-dimensional terms via Gaussian process regression kernel design: applications to machine learning of potential energy surfaces and kinetic energy densities from sparse data. Machine learning: science and technology. 3 (1), p. . [Online].