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20132023
most citedIn search of high performance anode materials for Mg batteries: computational studies of Mg in Ge, Si, and Sn

117 citations · 1.1k across the 40 of their papers we have counts for

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math.NA2021★ 18 cited

Rectangularization of Gaussian process regression for optimization of hyperparameters

Sergei Manzhos, Manabu Ihara

Gaussian process regression (GPR) is a powerful machine learning method which has recently enjoyed wider use, in particular in physical sciences. In its original formulation, GPR u…

math.NA2021★ 21 cited

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

Eita Sasaki, Manabu Ihara, Sergei Manzhos

We show that Gaussian process regression (GPR) allows representing multivariate functions with low-dimensional terms via kernel design. When using a kernel built with HDMR (High-di…