Sergei Manzhos
Orcid: 0000-0001-8172-7903
According to our database1,
Sergei Manzhos
authored at least 13 papers
between 2009 and 2023.
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Bibliography
2023
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension.
CoRR, 2023
Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization.
CoRR, 2023
Neural network with optimal neuron activation functions based on additive Gaussian process regression.
CoRR, 2023
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.
Mach. Learn. Sci. Technol., 2022
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method.
Comput. Phys. Commun., 2022
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces.
CoRR, 2022
2021
Rectangularization of Gaussian process regression for optimization of hyperparameters.
CoRR, 2021
2020
Mach. Learn. Sci. Technol., 2020
Comput. Phys. Commun., 2020
2015
A Comparative Density Functional Theory and Density Functional Tight Binding Study of Phases of Nitrogen Including a High Energy Density Material N<sub>8</sub>.
Comput., 2015
2013
Effect of Isotopic Substitution on Elementary Processes in Dye-Sensitized Solar Cells: Deuterated Amino-Phenyl Acid Dyes on TiO<sub>2</sub>.
Comput., 2013
2009
Comput. Phys. Commun., 2009