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yoh-ichi mototake
yoh-ichi mototake
Other namesyhoichi mototake, youichi mototake
Verified email at r.hit-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
342017
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
302020
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
252019
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
212019
Interpretable conservation law estimation by deriving the symmetries of dynamics from trained deep neural networks
Y Mototake
Physical Review E 103 (3), 033303, 2021
192021
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
192019
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
122020
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
112020
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
102020
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
82018
A simulation study of large scale swarms
Y Mototake, T Ikegami
Proc. SWARM, 446-450, 2015
82015
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
72020
The dynamics of deep neural networks
Y Mototake, T Ikegami
Proceedings of the Twentieth International Symposium on Artificial Life and …, 2015
72015
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
32021
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
32021
New Classification of Collective Animal Behaviour as an Autonomous System
T Niizato, K Sakamoto, Y Mototake, H Murakami, T Tomaru, T Hoshika, ...
Preprints, 2020
22020
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
22018
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
12022
位相的データ分析法による材料構造形成過程の分析
本武陽一, 水牧仁一朗, 工藤和恵, 福水健次
スマートプロセス学会誌 10 (3), 108-119, 2021
12021
Heap Paradox in Fish Schools
T Niizato, K Sakamoto, Y Mototake, H Murakami, Y Nishiyama, T Hoshika, ...
Proceedings of the SWARM, 2019
12019
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Articles 1–20