Obuchi Tomoyuki

オブチトモユキ | Obuchi Tomoyuki

Affiliation and department：
Job title： Assistant Professor
Homepage URL (1)： http://www-adsys.sys.i.kyoto-u.ac.jp/obuchi/index.html

Research field (3)： Soft computing , Mathematical physics and basic theory , Statistical science

Research keywords (6)：数理生物 , information theory , quantum dynamics , machine learning , learning theory , statistical physics

Research theme for competitive and other funds (10)：

2022 - 2027 Statistical mechanics approach to high-dimensional machine learning
2022 - 2026 Evolution of data science theory through analysis of solvable models
2019 - 2022 Physics of Glass and Jamming Transitions Captured by Spins: from Soft Matter Physics to Statistical Physics of Information Processing
2018 - 2022 Statistical mechanics and sparse modeling approach to large-scale inverse problems
2017 - 2022 半解析リサンプリング法の開発と整備:信頼性評価への統計力学的アプローチ

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Papers (49)：

Kyoya Uemura, Tomoyuki Obuchi, Toshiyuki Tanaka. Sparse Modeling for Spectrometer Based on Band Measurement. IEEE Transactions on Signal Processing. 2024. 72. 1724-1738
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima. On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs. Proceedings of Machine Learning Research. 2023. 206. 6783-6805
Takuya Imaizumi, Nobuhisa Umeki, Ryo Yoshizawa, Tomoyuki Obuchi, Yasushi Sako, Yoshiyuki Kabashima. Assessing transfer entropy from biochemical data. Physical Review E. 2022. 105. 3. 034403-034403
Ayaka Sakata, Tomoyuki Obuchi. Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control. Journal of Statistical Mechanics: Theory and Experiment. 2021. 2021. 9. 093401-093401
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima. Ising Model Selection Using $\ell_1$-Regularized Linear Regression: A Statistical Mechanics Analysis. Advances in Neural Information Processing Systems. 2021. 34. 6290-6303

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MISC (20)：

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Books (3)：

スパースモデリングと情報統計力学
2021
統計力学的手法に基づく階層的ランダム符号の性能解析
2010
Analysis of the Random Energy Model in a Transverse Field- Solvable Quantum Spin Glass
2007

Lectures and oral presentations (121)：

Band Measurement in Spectrometer and Sparse Modelling
(9IDMRCS 2023)
Statistical inference of an assembly of vectors with a large number of components through their p-body products
(STATPHYS28 2023)
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
(AISTATS 2023 2023)
帯観測モデルに基づくスパーススペクトル推定
(第25回情報論的学習理論ワークショップ(IBIS2022) 2022)
関係性の有無を簡単な統計モデルで判断して良いのか?:逆イジング問題を雛形とした統計力学的アプローチ
(iSeminar 2021)

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Education (4)：

2007 - 2010 Tokyo Institute of Technology Graduate School of Science and Engineering
2010 - 東京工業大学博士(理学)
2005 - 2007 Tokyo Institute of Technology Graduate School of Science and Engineering
2001 - 2005 Tokyo Institute of Technology School of Science

Professional career (1)：

Work history (7)：

2019/12 - 現在 Kyoto University Graduate School of Informatics Department of Systems Science Associate professor
2016/04 - 2019/11 Tokyo Institute of Technology School of Computing Assistant Professor
2013/10 - 2016/03 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering Assistant Professor
2012/09 - 2013/09 Ecole Normale Superieure Paris Department of theoretical physics Postdoctoral researcher
2012/04 - 2013/09 Osaka University Cybermedia Center

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Committee career (2)：

Association Membership(s) (2)：

日本統計学会 , 日本物理学会

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