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Neural Computation|July 31, 2026
Unsupervised Feature Selection Using Bayesian Tucker DecompositionY-H Taguchi, Yoh-Ichi MototakePhysical Review. E|April 17, 2021
Interpretable conservation law estimation by deriving the symmetries of dynamics from trained deep neural networksYoh-Ichi MototakeScience and Technology of Advanced Materials|June 4, 2020
Data-based selection of creep constitutive models for high-Cr heat-resistant steelHitoshi Izuno, Masahiko Demura, Masaaki Tabuchi, et al.Scientific Reports|November 29, 2024
Information structure of heterogeneous criticality in a fish schoolTakayuki Niizato, Kotaro Sakamoto, Yoh-Ichi Mototake, et al.Scientific Reports|June 28, 2020
A universal Bayesian inference framework for complicated creep constitutive equationsYoh-Ichi Mototake, Hitoshi Izuno, Kenji Nagata, et al.Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 15, 2017
Life as an emergent phenomenon: studies from a large-scale boid simulation and web dataTakashi Ikegami, Yoh-Ichi Mototake, Shintaro Kobori, et al.Journal of Computational Neuroscience|February 17, 2021
Comparison of neuronal responses in primate inferior-temporal cortex and feed-forward deep neural network model with regard to information processing of facesNarihisa Matsumoto, Yoh-Ichi Mototake, Kenji Kawano, et al.Science and Technology of Advanced Materials|September 17, 2020
Development of spectral decomposition based on Bayesian information criterion with estimation of confidence intervalHiroshi Shinotsuka, Kenji Nagata, Hideki Yoshikawa, et al.Scientific Reports|August 14, 2023
Quantifying physical insights cooperatively with exhaustive search for Bayesian spectroscopy of X-ray photoelectron spectraHiroyuki Kumazoe, Kazunori Iwamitsu, Masaki Imamura, et al.Plos One|February 29, 2020
Finding continuity and discontinuity in fish schools via integrated information theoryTakayuki Niizato, Kotaro Sakamoto, Yoh-Ichi Mototake, et al.Pageof 10