| Gaussian Markov random field model without boundary conditions S Katakami, H Sakamoto, S Murata, M Okada Journal of the Physical Society of Japan 86 (6), 064801, 2017 | 8 | 2017 |
| Theory of distribution estimation of hyperparameters in Markov random field models H Sakamoto, Y Nakanishi-Ohno, M Okada Journal of the Physical Society of Japan 85 (6), 063801, 2016 | 8 | 2016 |
| Bayesian Hyperparameter Estimation using Gaussian Process and Bayesian Optimization S Katakami, H Sakamoto, M Okada Journal of the Physical Society of Japan 88 (7), 074001, 2019 | 6 | 2019 |
| Multidimensional bin-width optimization for histogram and its application to four-dimensional neutron inelastic scattering data K Muto, H Sakamoto, K Matsuura, T Arima, M Okada Journal of the Physical Society of Japan 88 (4), 044002, 2019 | 6 | 2019 |
| Bayesian parameter estimation from dispersion relation observation data with Poisson process S Katakami, H Sakamoto, K Nagata, T Arima, M Okada Physical Review E 105 (6), 065301, 2022 | 4 | 2022 |
| Bayesian Parameter Estimation Using Dispersion Relation Spectra H Sakamoto, S Katakami, K Muto, K Nagata, T Arima, M Okada Journal of the Physical Society of Japan 89 (12), 124002, 2020 | 2 | 2020 |
| Influence of Averaging Preprocessing on Image Analysis with a Markov Random Field Model H Sakamoto, Y Nakanishi-Ohno, M Okada Journal of the Physical Society of Japan 87 (2), 024802, 2018 | 2 | 2018 |
| Sparse STC estimation of suppressive elements for neurons in primary visual cortex R Tanaka, K Sasaki, H Sakamoto, Y Nagano, Y Yue, M Okada, I Ohzawa IEICE Technical Report; IEICE Tech. Rep. 119 (453), 155-159, 2020 | | 2020 |
| Lattice Model Selection of Gaussian Markov Random Field H Ito, H Sakamoto, S Katakami, M Okada IEICE Technical Report; IEICE Tech. Rep. 118 (284), 191-196, 2018 | | 2018 |
| Exact Calculation of Typical Hyper-Parameter Posterior Distribution of Gaussian Markov Random Field model. H Sakamoto, Y Nakanishi-Ohno, M Okada APS March Meeting Abstracts 2018, L60. 214, 2018 | | 2018 |
| Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization S Katakami, H Sakamoto, M Okada IEICE Technical Report; IEICE Tech. Rep. 117 (293), 333-338, 2017 | | 2017 |
| Gaussian Markov random field model without periodic boundary conditions S Katakami, H Sakamoto, S Murata, M Okada IEICE Technical Report; IEICE Tech. Rep. 116 (300), 267-274, 2016 | | 2016 |
| Effects of downsampling on hyperparameter estimation for Markov random field model H Sakamoto, Y Nakanishi-Ohno, M Okada IEICE Technical Report; IEICE Tech. Rep. 114 (515), 325-330, 2015 | | 2015 |
