| The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation N Hayashi Neural Networks 137, 127-137, 2021 | 18 | 2021 |
| Upper bound of Bayesian generalization error in non-negative matrix factorization N Hayashi, S Watanabe Neurocomputing 266, 21-28, 2017 | 18 | 2017 |
| 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 | 14 | 2021 |
| 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 | 10 | 2017 |
| Variational approximation error in non-negative matrix factorization N Hayashi Neural Networks 126, 65-75, 2020 | 9 | 2020 |
| 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 | 7 | 2020 |
| Asymptotic bayesian generalization error in latent dirichlet allocation and stochastic matrix factorization N Hayashi, S Watanabe SN Computer Science 1 (2), 69, 2020 | 6 | 2020 |
| Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation N Hayashi, Y Sawada arXiv preprint arXiv:2303.09154, 2023 | 1 | 2023 |
| Individual behavioral type captured by a Bayesian model comparison of cap making by sponge crabs K Harada, N Hayashi, K Kagaya bioRxiv, 330787, 2018 | 1 | 2018 |
| 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 | 1 | 2017 |
| 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 |
Sumio WatanabeTokyo Institute of Technology在 math.dis.titech.ac.jp 的电子邮件经过验证
