Manabu Ihara

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Gaussian Process Regression

Top Venues

Mach. Learn. Sci. Technol.

Comput. Phys. Commun.

Publications

Sergei Manzhos, Manabu Ihara
Neural network with optimal neuron activation functions based on additive Gaussian process regression. CoRR (2023)
Sergei Manzhos, Manabu Ihara
Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization. CoRR (2023)
Sergei Manzhos, Manabu Ihara
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension. CoRR (2023)
Sergei Manzhos, Eita Sasaki, Manabu Ihara
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. 3 (1) (2022)
Owen Ren, Mohamed Ali Boussaidi, Dmitry A. Voytsekhovsky, Manabu Ihara, Sergei Manzhos
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. 271 (2022)
Sergei Manzhos, Manabu Ihara
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)
Eita Sasaki, Manabu Ihara, Sergei Manzhos
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. CoRR (2021)
Sergei Manzhos, Manabu Ihara
On the optimization of hyperparameters in Gaussian process regression. CoRR (2021)
Sergei Manzhos, Manabu Ihara
Rectangularization of Gaussian process regression for optimization of hyperparameters. CoRR (2021)