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Naoki Hayashi
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Cited by
Year
The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation
N Hayashi
Neural Networks 137, 127-137, 2021
182021
Upper bound of Bayesian generalization error in non-negative matrix factorization
N Hayashi, S Watanabe
Neurocomputing 266, 21-28, 2017
182017
Within and between classroom transmission patterns of seasonal influenza among primary school students in Matsumoto city, Japan
A Endo, M Uchida, N Hayashi, Y Liu, KE Atkins, AJ Kucharski, S Funk
Proceedings of the National Academy of Sciences 118 (46), e2112605118, 2021
172021
Tighter upper bound of real log canonical threshold of non-negative matrix factorization and its application to bayesian inference
N Hayashi, S Watanabe
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
102017
Variational approximation error in non-negative matrix factorization
N Hayashi
Neural Networks 126, 65-75, 2020
92020
Individual behavioral type captured by a Bayesian model comparison of cap making by sponge crabs
K Harada, N Hayashi, K Kagaya
PeerJ 8, e9036, 2020
72020
Asymptotic bayesian generalization error in latent dirichlet allocation and stochastic matrix factorization
N Hayashi, S Watanabe
SN Computer Science 1 (2), 69, 2020
62020
Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation
N Hayashi, Y Sawada
arXiv preprint arXiv:2303.09154, 2023
12023
Individual behavioral type captured by a Bayesian model comparison of cap making by sponge crabs
K Harada, N Hayashi, K Kagaya
bioRxiv, 330787, 2018
12018
Experimental analysis of real log canonical threshold in non-negative matrix factorization
N Hayashi, S Watanabe
IEICE Technical Report; IEICE Tech. Rep. 116 (521), 85-90, 2017
12017
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM
N Hayashi, Y Sawada
arXiv preprint arXiv:2403.09206, 2024
2024
即時配送と計画配送の実応用にむけた配送最適化アルゴリズム開発
三好大悟, 豊岡祥, 林直輝, 市川拓巳, 松木翔太郎, 伊藤孝太朗, ...
人工知能学会全国大会論文集 第 37 回 (2023), 2M6GS1004-2M6GS1004, 2023
2023
Concept Bottleneck 構造を持つ三層線型神経回路網のベイズ汎化誤差解析とマルチタスク問題との比較
林直輝, 澤田好秀
人工知能学会全国大会論文集 第 37 回 (2023), 3H1GS1001-3H1GS1001, 2023
2023
Statistical Learning Theory of Parameter-Restricted Singular Models
N Hayashi
https://t2r2.star.titech.ac.jp/rrws/file/CTT100848643/ATD100000413/, 2021
2021
パラメータ制約付き特異モデルの統計的学習理論
林直輝
(No Title), 2021
2021
Trial of damage prediction for telecommunication conduits using machine learning
TS Akira Ito, Masaru Okutsu, Masatoshi Yukishima, Ryosuke Matsushita, Naoki ...
Proceedings of 17th World Conference on Earthquake Engineering, 2020
2020
YOLOv3 とドメイン知識を用いた CT 画像の病変部位検出
西郷彰, 林直輝, 伊藤孝太郎
人工知能学会全国大会論文集 第 33 回 (2019), 2N4J1305-2N4J1305, 2019
2019
Experimental Analysis of Real Log Canonical Threshold in Stochastic Matrix Factorization using Hamiltonian Monte Carlo Method
N Hayashi, S Watanabe
IEICE Technical Report; IEICE Tech. Rep. 117 (508), 127-131, 2018
2018
Variational Approximation Accuracy in Bayesian Non-negative Matrix Factorization.
N Hayashi
CoRR, 2018
2018
ハミルトニアンモンテカルロ法を用いた確率行列分解における実対数閾値の実験的考察
林直輝, 渡辺澄夫
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 117 (508 …, 2018
2018
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