"有賀 嵩晃,亀田 恵佑,佐々木 瑛太,長谷川馨,Manzhos Sergei,伊原学","原子価結合法への機械学習の適用によるペロブスカイト型プロトン伝導体探索の検討","化学工学会第87年会",,,,,,2022,Mar.
"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",,"Machine Learning: Science and Technology",,,,,2022,Jan.
"E. Sasaki,M. Ihara,S. Manzhos","Structured Gaussian Process Regression models to address difficulties in modeling very high dimensional data with product kernels","2021 MRS Fall Meeting & Exhibit",,,,,,2021,Dec.
"佐々木 瑛太,大久保 辰哉,葛西 祐也,長谷川 馨,伊原 学","系統協調／分散型エネルギーシステム開発に向けた機械学習による電力需要の重回帰分析","化学工学会第51回秋季大会",,,,,,2020,Sept.