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

Publication Information

Title

Japanese:
English:	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

Author

Japanese:	MANZHOS SERGEI, 佐々木瑛太, 伊原学.
English:	Sergei Manzhos, Eita Sasaki, Manabu Ihara.

Language

English

Journal/Book name

Japanese:
English:	Machine Learning: Science and Technology

Volume, Number, Page

Published date

Jan. 2022

Publisher

Japanese:
English:

Conference name

Japanese:
English:

Conference site

Japanese:
English: