Life as an emergent phenomenon: studies from a large-scale boid simulation and web data T Ikegami, Y Mototake, S Kobori, M Oka, Y Hashimoto Philosophical transactions of the royal society a: Mathematical, physical …, 2017 | 36 | 2017 |
Finding continuity and discontinuity in fish schools via integrated information theory T Niizato, K Sakamoto, Y Mototake, H Murakami, T Tomaru, T Hoshika, ... PloS one 15 (2), e0229573, 2020 | 31 | 2020 |
Bayesian hamiltonian selection in x-ray photoelectron spectroscopy Y Mototake, M Mizumaki, I Akai, M Okada Journal of the Physical Society of Japan 88 (3), 034004, 2019 | 26 | 2019 |
Bayesian spectral deconvolution based on Poisson distribution: Bayesian measurement and virtual measurement analytics (VMA) K Nagata, R Muraoka, Y Mototake, T Sasaki, M Okada Journal of the Physical Society of Japan 88 (4), 044003, 2019 | 24 | 2019 |
Interpretable conservation law estimation by deriving the symmetries of dynamics from trained deep neural networks Y Mototake Physical Review E 103 (3), 033303, 2021 | 23 | 2021 |
Semi-flat minima and saddle points by embedding neural networks to overparameterization K Fukumizu, S Yamaguchi, Y Mototake, M Tanaka Advances in neural information processing systems 32, 2019 | 23 | 2019 |
A universal Bayesian inference framework for complicated creep constitutive equations Y Mototake, H Izuno, K Nagata, M Demura, M Okada Scientific Reports 10 (1), 10437, 2020 | 14 | 2020 |
Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval H Shinotsuka, K Nagata, H Yoshikawa, YI Mototake, H Shouno, M Okada Science and technology of advanced materials 21 (1), 402-419, 2020 | 14 | 2020 |
Data-based selection of creep constitutive models for high-Cr heat-resistant steel H Izuno, M Demura, M Tabuchi, Y Mototake, M Okada Science and Technology of Advanced Materials 21 (1), 219-228, 2020 | 13 | 2020 |
Four-Types of IIT-Induced Group Integrity of Plecoglossus altivelis T Niizato, K Sakamoto, Y Mototake, H Murakami, T Tomaru, T Hoshika, ... Entropy 22 (7), 726, 2020 | 9 | 2020 |
A simulation study of large scale swarms Y Mototake, T Ikegami Proc. SWARM, 446-450, 2015 | 9 | 2015 |
Spectral deconvolution through Bayesian LARS-OLS Y Mototake, Y Igarashi, H Takenaka, K Nagata, M Okada Journal of the Physical Society of Japan 87 (11), 114004, 2018 | 8 | 2018 |
The dynamics of deep neural networks Y Mototake, T Ikegami Proceedings of the Twentieth International Symposium on Artificial Life and …, 2015 | 8 | 2015 |
Comparison of neuronal responses in primate inferior-temporal cortex and feed-forward deep neural network model with regard to information processing of faces N Matsumoto, Y Mototake, K Kawano, M Okada, Y Sugase-Miyamoto Journal of Computational Neuroscience 49, 251-257, 2021 | 5 | 2021 |
Descriptor extraction on inherent creep strength of carbon steel by exhaustive search J Sakurai, M Demura, Y Mototake, M Okada, M Yamazaki, J Inoue Science and Technology of Advanced Materials: Methods 1 (1), 98-108, 2021 | 3 | 2021 |
Quantitative prediction of fracture toughness (KIc) of polymer by fractography using deep neural networks Y Mototake, K Ito, M Demura Science and Technology of Advanced Materials: Methods 2 (1), 310-321, 2022 | 2 | 2022 |
New Classification of Collective Animal Behaviour as an Autonomous System T Niizato, K Sakamoto, Y Mototake, H Murakami, T Tomaru, T Hoshika, ... Preprints, 2020 | 2 | 2020 |
コンピュータ大貧民における LSTM を用いた手札推定 神田直樹, 伊藤毅志 研究報告ゲーム情報学 (GI) 2018 (8), 1-8, 2018 | 2 | 2018 |
Search for high-creep-strength welding conditions considering HAZ shape factors for 2 1/4Cr–1Mo steel H Izuno, M Demura, M Yamazaki, S Minamoto, J Sakurai, K Nagata, ... Welding in the World 68 (5), 1313-1332, 2024 | 1 | 2024 |
Quantifying physical insights cooperatively with exhaustive search for Bayesian spectroscopy of X-ray photoelectron spectra H Kumazoe, K Iwamitsu, M Imamura, K Takahashi, Y Mototake, M Okada, ... Scientific Reports 13 (1), 13221, 2023 | 1 | 2023 |