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Yoh-ichi Mototake
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2020 – today
- 2024
- [j4]Akifumi Okuno
, Yuya Morishita, Yoh-ichi Mototake:
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series. IEEE Access 12: 24621-24630 (2024) - 2023
- [i4]Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake:
Forecasting of the development of a partially-observed dynamical time series with the aid of time-invariance and linearity. CoRR abs/2306.16593 (2023) - 2021
- [j3]Narihisa Matsumoto
Comparison of neuronal responses in primate inferior-temporal cortex and feed-forward deep neural network model with regard to information processing of faces. J. Comput. Neurosci. 49(3): 251-257 (2021) - 2020
- [j2]Takayuki Niizato, Kotaro Sakamoto, Yoh-ichi Mototake, Hisashi Murakami, Yuta Nishiyama
Revealing the existence of the ontological commitment in fish schools. Artif. Life Robotics 25(4): 633-642 (2020) - [j1]Takayuki Niizato, Kotaro Sakamoto
Four-Types of IIT-Induced Group Integrity of Plecoglossus altivelis. Entropy 22(7): 726 (2020) - [i3]Yoh-ichi Mototake:
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks. CoRR abs/2001.00111 (2020)
2010 – 2019
- 2019
- [c1]Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka:
Semi-flat minima and saddle points by embedding neural networks to overparameterization. NeurIPS 2019: 13845-13853 - [i2]Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka:
Semi-flat minima and saddle points by embedding neural networks to overparameterization. CoRR abs/1906.04868 (2019) - 2018
- [i1]Kenji Nagata, Yoh-ichi Mototake, Rei Muraoka, Takehiko Sasaki, Masato Okada:
Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA). CoRR abs/1812.05501 (2018)
Coauthor Index
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