Hayashi Kohei

Affiliation and department：
Homepage URL (1)： https://sites.google.com/site/koheihayashi84/

Research field (1)： Intelligent informatics

Research keywords (15)： Bayesian probabilistic model , parallel computing , Exponential fmaily , Gaussian process , Data fusion , Anomaly detection , Tensor factorization , Feature extraction , Data mining , Machine learning , 異常検知 , テンソル分解 , 特徴抽出 , データマイニング , 機械学習

Research theme for competitive and other funds (2)：

2015 - 2016 Fully automatic and scalable Bayesian model selection method for tensor decomposition
2013 - 2014 Large-scale tensor decomposition for high-level information processing

Papers (13)：

Kohei Hayashi, Ryohei Fujimaki. Factorized Asymptotic Bayesian Inference for Latent Feature Models. Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. 2013. 1214-1222
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima. Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. 2012. E95D. 11. 2664-2673
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda. Exponential family tensor factorization: an online extension and applications. KNOWLEDGE AND INFORMATION SYSTEMS. 2012. 33. 1. 57-88
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima. Tensor factorization using auxiliary information. DATA MINING AND KNOWLEDGE DISCOVERY. 2012. 25. 2. 298-324
Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima. Self-measuring Similarity for Multi-task Gaussian Process. Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011. 2012. 145-154

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MISC (15)：

Kato Ryo, Sakaguchi Seiichiro, Hayashi Kohei, Igarashi Yasunobu. A management method of an issue creating process in the big data era : A case study of Datascience Adventure Cup(<Special feature>Beyond Bibliometrics). The journal of Information Science and Technology Association. 2014. 64. 12. 508-513
冨岡亮太, 鈴木大慈, 林浩平. Tensor Decomposition via Convex Optimization. 応用数理. 2014. 24. 4. 160-167
加藤亮, 坂口誠一郎, 林浩平. A management method of an issue creating process in the big data era : A case study of Datascience Adventure Cup. 情報の科学と技術 = The journal of Information Science and Technology Association. 2014. 64. 12. 508-513
IKEDA KAZUSHI, HAYASHI KOHEI. Tensor Factorization with Stochastic Models (Fundamental Technologies for the Next-Generation Computational Science). RIMS Kokyuroku. 2013. 1848. 77-82
池田和司, 林浩平. Tensor Factorization with Stochastic Models (Fundamental Technologies for the Next-Generation Computational Science). 数理解析研究所講究録. 2013. 1848. 77-82

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Patents (1)：

確率モデル更新システム、確率モデル更新装置、確率モデル更新方法およびプログラム

Professional career (1)：

博士(工学) (奈良先端科学技術大学院大学)

Work history (6)：

2013/02 - 現在 National Institute of Informatics
2013 - 2015 National Institute of Informatics
2012/04 - 2013/01 The University of Tokyo
2009/04 - 2012/03 Nara Institute of Science and Technology Graduate School of Information Science
2007/04 - 2009/03 Nara Institute of Science and Technology Graduate School of Information Science

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