Obuchi Tomoyuki 小渕智之

… Alternative Names

小渕智之オブチトモユキ

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Researcher Number	40588448
Other IDs
Affiliation (Current)	2025: 京都大学, 情報学研究科, 准教授
Affiliation (based on the past Project Information) *help	2019 – 2024: 京都大学, 情報学研究科, 准教授 2016 – 2019: 東京工業大学, 情報理工学院, 助教 2014 – 2015: 東京工業大学, 総合理工学研究科(研究院), 助教 2012: 大阪大学, 理学(系)研究科(研究院), その他
Review Section/Research Field	Principal Investigator Basic Section 61040:Soft computing-related / Mathematical physics/Fundamental condensed matter physics Except Principal Investigator Transformative Research Areas, Section (II) / Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related / Complex systems / Soft computing
Keywords	Principal Investigator 機械学習 / 情報統計力学 / スパースモデリング / 可解モデル / データ科学 / 近似推論 / 統計的逆問題 / ベイズ統計 / ニューラルネットワーク / 逆問題 … More / 最大エントロピー法 / 統計物理学 / 統計的学習理論・機械学習 / 逆問題・多自由度推定 … More Except Principal Investigator レプリカ法 / 平均場近似 / 交差検証法 / 性能分析 / アルゴリズム開発 / 深層学習 / キャビティ法 / 機械学習 / 情報統計力学 / ソフトマター / フラストレートスピン系 / ジャミング転移 / 深層ニューラルネットワーク / スピングラス / ヤーンテラー効果 / ニューラルネットワーク / 統計的推定 / 制約充足問題 / コロイド / フラストレート磁性 / ジャミング / ガラス転移 / 行列分解 / 情報量基準 / 統計力学 / 特異モデル / モデル選択 / 潜在変数モデリング / 圧縮センシング / ランダム行列 / 期待値伝搬法 / 確率伝搬法 / レプリカ方 / ブートストラップ / 交差検証方 / stability selection / ブートストラップ法 / リサンプリング Less

Statistical mechanics approach to high-dimensional machine learning
- Principal Investigator
  
  樺島祥介
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  The University of Tokyo
Evolution of data science theory through analysis of solvable modelsPrincipal Investigator
- Principal Investigator
  
  小渕智之
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Kyoto University
Physics of Glass and Jamming Transitions Captured by Spins: from Soft Matter Physics to Statistical Physics of Information Processing
- Principal Investigator
  
  Yoshino Hajime
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related
- Research Institution
  Osaka University
Statistical mechanics and sparse modeling approach to large-scale inverse problemsPrincipal Investigator
- Principal Investigator
  
  Obuchi Tomoyuki
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Kyoto University
  Tokyo Institute of Technology
Development and systemization of semi-analytic resampling method: Reliability evaluation by statistical mechanics
- Principal Investigator
  
  Kabashima Yoshiyuki
- Project Period (FY)
  2017 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Soft computing
- Research Institution
  The University of Tokyo
  Tokyo Institute of Technology
A comprehensive study of learning, inference, and inverse problems based on the spin-glass theoryPrincipal Investigator
- Principal Investigator
  
  Obuchi Tomoyuki
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Mathematical physics/Fundamental condensed matter physics
- Research Institution
  Tokyo Institute of Technology
Statistical mechanics approach to massive sparse modeling
- Principal Investigator
  
  KABASHIMA Yoshiyuki
- Project Period (FY)
  2013 – 2017
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Complex systems
- Research Institution
  Tokyo Institute of Technology
スピングラス理論に基づいた逆問題の統計力学的研究Principal Investigator
- Principal Investigator
  
  小渕智之
- Project Period (FY)
  2012
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Mathematical physics/Fundamental condensed matter physics
- Research Institution
  Osaka University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 Other

All Journal Article Presentation Patent

[Journal Article] Sparse Modeling for Spectrometer Based on Band Measurement2024
- Author(s)
  Uemura Kyoya、Obuchi Tomoyuki、Tanaka Toshiyuki
- Journal Title
  
  IEEE Transactions on Signal Processing
  
  Volume: 72 Pages: 1724-1738
- DOI
  10.1109/tsp.2024.3381443
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K12179, KAKENHI-PROJECT-22KJ1726
[Journal Article] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023
- Author(s)
  Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
- Journal Title
  
  Proceedings of Machine Learning Research
  
  Volume: 206 Pages: 1-23
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K12179
[Journal Article] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023
- Author(s)
  Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
- Journal Title
  
  Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS2023)
  
  Volume: 206 Pages: 6783-6805
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H00764
[Journal Article] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023
- Author(s)
  Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
- Journal Title
  
  Proceedings of Machine Learning Research
  
  Volume: 206 Pages: 6783-6805
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-22H05117
[Journal Article] Assessing transfer entropy from biochemical data2022
- Author(s)
  Imaizumi Takuya、Umeki Nobuhisa、Yoshizawa Ryo、Obuchi Tomoyuki、Sako Yasushi、Kabashima Yoshiyuki
- Journal Title
  
  Physical Review E
  
  Volume: 105 Issue: 3 Pages: 1-13
- DOI
  10.1103/physreve.105.034403
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-19H05647, KAKENHI-PROJECT-20H00620, KAKENHI-PROJECT-18K06123, KAKENHI-PROJECT-17H00764
[Journal Article] Structure learning in inverse Ising problems using ? <sub>2</sub>-regularized linear estimator2021
- Author(s)
  Meng Xiangming、Obuchi Tomoyuki、Kabashima Yoshiyuki
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2021 Issue: 5 Pages: 053403-053403
- DOI
  10.1088/1742-5468/abfa10
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-20H00620, KAKENHI-PROJECT-17H00764
[Journal Article] Ising Model Selection Using $\ell_1$-Regularized Linear Regression: A Statistical Mechanics Analysis2021
- Author(s)
  Xiangming Meng、Tomoyuki Obuchi、Yoshiyuki Kabashima
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 34 Pages: 6290-6303
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463
[Journal Article] スパースモデリングと情報統計力学2021
- Author(s)
  小渕智之 , 樺島祥介
- Journal Title
  
  日本物理学会誌
  
  Volume: 76 Pages: 140-149
- NAID
  130007995229
- Data Source
  KAKENHI-PROJECT-17H00764
[Journal Article] Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control2021
- Author(s)
  Sakata Ayaka、Obuchi Tomoyuki
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2021 Issue: 9 Pages: 093401-093401
- DOI
  10.1088/1742-5468/ac1403
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-19H01812, KAKENHI-PROJECT-17H00764
[Journal Article] Sharp Asymptotics of Matrix Sketching for a Rank-One Spiked Model2021
- Author(s)
  Tagashira Fumito、Obuchi Tomoyuki、Tanaka Toshiyuki
- Journal Title
  
  2021 IEEE International Symposium on Information Theory (ISIT)
  
  Volume: none Pages: 250-255
- DOI
  10.1109/isit45174.2021.9517724
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-17H00764
[Journal Article] Ising Model Selection Using L1-Regularized Linear Regression: A Statistical Mechanics Analysis2021
- Author(s)
  Xiangming Meng、Tomoyuki Obuchi、Yoshiyuki Kabashima
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 34 Pages: 6290-6303
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H01812
[Journal Article] Empirical Bayes method for Boltzmann machines2020
- Author(s)
  Yasuda Muneki, Obuchi Tomoyuki
- Journal Title
  
  J. Phys. A: Math. Theor.
  
  Volume: 53
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H01812
[Journal Article] Learning performance in inverse Ising problems with sparse teacher couplings2020
- Author(s)
  Abbara Alia、Kabashima Yoshiyuki、Obuchi Tomoyuki、Xu Yingying
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2020 Issue: 7 Pages: 073402-073402
- DOI
  10.1088/1742-5468/ab8c3a
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-17H00764, KAKENHI-PROJECT-20H00620
[Journal Article] Reconstructing Sparse Signals via Greedy Monte-Carlo Search2020
- Author(s)
  Hayashi Kao、Obuchi Tomoyuki、Kabashima Yoshiyuki
- Journal Title
  
  Journal of the Physical Society of Japan
  
  Volume: 89 Issue: 12 Pages: 124802-124802
- DOI
  10.7566/jpsj.89.124802
- NAID
  40022438412
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-17H00764, KAKENHI-PROJECT-20H00620
[Journal Article] Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion2020
- Author(s)
  Terada Yu、Obuchi Tomoyuki、Isomura Takuya、Kabashima Yoshiyuki
- Journal Title
  
  Neural Computation
  
  Volume: 32 Issue: 11 Pages: 2187-2211
- DOI
  10.1162/neco_a_01324
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-19K20365, KAKENHI-PROJECT-17H00764, KAKENHI-PROJECT-20H00620
[Journal Article] Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration2019
- Author(s)
  Obuchi Tomoyuki、Sakata Ayaka
- Journal Title
  
  Journal of Physics A: Mathematical and Theoretical
  
  Volume: 52 Issue: 41 Pages: 414003-414003
- DOI
  10.1088/1751-8121/ab3e89
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-19K20363, KAKENHI-PROJECT-17H00764, KAKENHI-PROJECT-19H01812
[Journal Article] Semi-Analytic Resampling in Lasso2019
- Author(s)
  Obuchi Tomoyuki, Kabashima Yoshiyuki
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 20 Pages: 1-33
- NAID
  120006769748
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H01812
[Journal Article] Empirical Bayes method for Boltzmann machines2019
- Author(s)
  Muneki Yasuda and Tomoyuki Obuchi
- Journal Title
  
  Journal of Physics A: Mathematical and Theoretical
  
  Volume: 53 Issue: 1 Pages: 014004-014004
- DOI
  10.1088/1751-8121/ab57a7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11459, KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-17H00764
[Journal Article] Objective and efficient inference for couplings in neuronal network2019
- Author(s)
  Terada Yu、Obuchi Tomoyuki、Isomura Takuya、Kabashima Yoshiyuki
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2019 Issue: 12 Pages: 124010-124010
- DOI
  10.1088/1742-5468/ab3219
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20365, KAKENHI-PROJECT-17H00764
[Journal Article] Mean-field theory of graph neural networks in graph partitioning2018
- Author(s)
  Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 31
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463
[Journal Article] Mean-field theory of graph neural networks in graph partitioning2018
- Author(s)
  Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 31 Pages: 4361-4371
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00764
[Journal Article] Objective and efficient inference for couplings in neuronal networks2018
- Author(s)
  Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 31 Pages: 4971-4980
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00764
[Journal Article] Statistical mechanical analysis of sparse linear regression as a variable selection problem2018
- Author(s)
  Tomoyuki Obuchi, Yoshinori Nakanishi-Ohno, Masato Okada, Yoshiyuki Kabashima
- Journal Title
  
  J. Stat. Mech.
  
  Volume: 103401 Pages: 103401-103401
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463
[Journal Article] Objective and efficient inference for couplings in neuronal networks2018
- Author(s)
  Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 31
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463
[Journal Article] Accelerating Cross-Validation in Multinomial Logistic Regression with L1-Regularization2018
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 19
- NAID
  120006629921
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463
[Journal Article] Accelerating Cross-Validation in Multinomial Logistic Regression with l1-Regularization2018
- Author(s)
  Tomoyuki Obuchi and Yoshiyuki Kabashima
- Journal Title
  
  The Journal of Machine Learning Research
  
  Volume: 19 Pages: 1-30
- NAID
  120006629921
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H00764
[Journal Article] Statistical mechanical analysis of sparse linear regression as a variable selection problem2018
- Author(s)
  Obuchi Tomoyuki、Nakanishi-Ohno Yoshinori、Okada Masato、Kabashima Yoshiyuki
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2018 Issue: 10 Pages: 103401-103401
- DOI
  10.1088/1742-5468/aae02c
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K12749, KAKENHI-PROJECT-17H00764
[Journal Article] Accelerating cross-validation with total variation and its application to super-resolution imaging2017
- Author(s)
  Tomoyuki Obuchi, Shiro Ikeda, Kazunori Akiyama, Yoshiyuki Kabashima
- Journal Title
  
  PLOS One
  
  Volume: 12 Issue: 12 Pages: e0188012-e0188012
- DOI
  10.1371/journal.pone.0188012
- NAID
  120006582650
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-25120008, KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-17H00764
[Journal Article] Random versus maximum entropy models of neural population activity2017
- Author(s)
  Ulisse Ferrari, Tomoyuki Obuchi, Thierry Mora
- Journal Title
  
  Phys. Rev. E
  
  Volume: 印刷中
- NAID
  130007648028
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Journal Article] Approximate cross-validation formula for Bayesian linear regression2017
- Author(s)
  Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura
- Journal Title
  
  Allerton2016 conference
  
  Volume: 印刷中
- NAID
  130006710798
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26870185
[Journal Article] Approximate cross validation formula for Bayesian linear regression2016
- Author(s)
  Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura
- Journal Title
  
  Proceedings of the 54th Annual Allerton Conference
  
  Volume: なし Pages: 596-600
- DOI
  10.1109/allerton.2016.7852286
- NAID
  130006710798
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-25120013
[Journal Article] Cross validation in LASSO and its acceleration2016
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima
- Journal Title
  
  Journal of Statistical Mechanics
  
  Volume: 印刷中
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26870185
[Journal Article] Sparse approximation problem: how rapid simulated annealing succeeds and fails,2016
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima
- Journal Title
  
  International Meeting on High-Dimensional Data-Driven Science (HD3-2015)Journal of Physics: Conference Series
  
  Volume: 699 Pages: 1-12
- DOI
  10.1088/1742-6596/699/1/012017
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-26870185
[Journal Article] Multiple peaks of species abundance distributions induced by sparse interactions2016
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima, Kei Tokita
- Journal Title
  
  Physical Review E
  
  Volume: 94 Issue: 2 Pages: 1-36
- DOI
  10.1103/physreve.94.022312
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-26870185
[Journal Article] Cross validation in LASSO and its acceleration2016
- Author(s)
  T. Obuchi and Y. Kabashima
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2016 Issue: 5 Pages: 1-36
- DOI
  10.1088/1742-5468/2016/05/053304
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PLANNED-24106008, KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-26870185
[Journal Article] Sparse approximation based on a random overcomplete basis2016
- Author(s)
  Yoshinori Nakanishi-Ohno, Tomoyuki Obuchi, Masato Okada, and Yoshiyuki Kabashima
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2016 Issue: 6 Pages: 1-30
- DOI
  10.1088/1742-5468/2016/06/063302
- NAID
  120006582517
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PLANNED-25120009, KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-26870185
[Journal Article] Boltzmann-machine learning of prior distributions of binarized natural images2016
- Author(s)
  Tomoyuki Obuchi, Hirokazu Koma, Muneki Yasuda
- Journal Title
  
  Journal of the Physical Society of Japan
  
  Volume: 85 Issue: 11 Pages: 1-17
- DOI
  10.7566/jpsj.85.114803
- NAID
  40020994962
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-26870185, KAKENHI-PROJECT-15K00330
[Journal Article] Sampling approach to sparse approximation problem: determining degrees of freedom by simulated annealing2016
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima.
- Journal Title
  
  Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO)
  
  Volume: なし Pages: 1-5
- DOI
  10.1109/eusipco.2016.7760448
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-26870185
[Journal Article] Sparse approximation problem: how rapid simulated annealing succeeds and fails2016
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima
- Journal Title
  
  Journal of Physics: Conference Series
  
  Volume: 印刷中
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26870185
[Journal Article] Relative species abundance of replicator dynamics with sparse interactions2016
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima, Kei Tokita
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2016 Issue: 11 Pages: 1-28
- DOI
  10.1088/1742-5468/2016/11/113502
- NAID
  120005971259
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PLANNED-25120013, KAKENHI-PROJECT-26870185
[Journal Article] Sparse approximation based on a random overcomplete basis2016
- Author(s)
  Yoshinori Nakanishi-Ohno, Tomoyuki Obuchi, Masato Okada, Yoshiyuki Kabashima
- Journal Title
  
  Journal of Statistical Mechanics
  
  Volume: 印刷中
- NAID
  120006582517
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26870185
[Journal Article] Learning probability distributions from smooth observables and the maximum entropy principle: some remarks2015
- Author(s)
  Tomoyuki Obuchi, Remi Monasson
- Journal Title
  
  Journal of Physics: Conference Series
  
  Volume: 631 Pages: 012018-012018
- DOI
  10.1088/1742-6596/638/1/012018
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185, KAKENHI-PLANNED-25120013
[Journal Article] Learning Probabilities From Random Observables in High Dimensions: The Maximum Entropy Distribution and Others2015
- Author(s)
  Tomoyuki Obuchi, Simona Cocco, Remi Monasson
- Journal Title
  
  Journal of Statistical Physics
  
  Volume: 161 Issue: 3 Pages: 598-632
- DOI
  10.1007/s10955-015-1341-7
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185, KAKENHI-PLANNED-25120013
[Patent] スペクトル推定装置、スペクトル推定システム、コンピュータプログラム及びスペクトル推定方法2021
- Inventor(s)
  上村京也，田中利幸，小渕智之
- Industrial Property Rights Holder
  上村京也，田中利幸，小渕智之
- Industrial Property Rights Type
  特許
- Filing Date
  2021
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023
- Author(s)
  Xiangming Meng , Tomoyuki Obuchi , Yoshiyuki Kabashima
- Organizer
  AISTATS 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K12179
[Presentation] Band Measurement in Spectrometer and Sparse Modelling2023
- Author(s)
  Kyoya Uemura, Tomoyuki Obuchi, Toshiyuki Tanaka
- Organizer
  9IDMRCS
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K12179
[Presentation] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023
- Author(s)
  Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
- Organizer
  The 26th International Conference on Artificial Intelligence and Statistics (AISTATS)ツ?
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-22H05117
[Presentation] Statistical inference of an assembly of vectors with a large number of components through their p-body products2023
- Author(s)
  Angelo Giorgio Cavaliere, Riki Nagasawa, Shuta Yokoi, Tomoyuki Obuchi, Hajime Yoshino
- Organizer
  STATPHYS28
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K12179
[Presentation] Statistical inference of an assembly of vectors with a large number of components through their p-body products2023
- Author(s)
  Angelo Giorgio Cavaliere, Riki Nagasawa, Shuta Yokoi, Tomoyuki Obuchi and Hajime Yoshino
- Organizer
  Physics of dense and active disordered materials
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-22H05117
[Presentation] L1正則化付き逆イジング問題の理論解析：統計力学的アプローチ2022
- Author(s)
  Xiangming Meng, 小渕智之, 樺島祥介
- Organizer
  日本物理学会第77回年次大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 生化学反応データからの移動エントロピーの評価2022
- Author(s)
  今泉拓也, 梅木伸久, 吉澤亮, 小渕智之, 佐甲靖志, 樺島祥介
- Organizer
  日本物理学会第77回年次大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 線形制約下におけるSCAD最小化問題の解について2022
- Author(s)
  石井智, 高橋昂, 小渕智之, 坂田綾香, 樺島祥介
- Organizer
  日本物理学会第77回年次大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] ニューラルネットにおける短期記憶の1ビット圧縮センシングによる想起2021
- Author(s)
  杉崎嵐, 寺田裕, 小渕智之, 樺島祥介
- Organizer
  日本物理学会第76回年次大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] SCAD正則化を用いた圧縮センシングに関する信号復元性能の分析2021
- Author(s)
  石井智, 小渕智之, 樺島祥介
- Organizer
  日本物理学会第76回年次大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 線形制約下におけるSCAD最小化問題の解について2021
- Author(s)
  石井智, 高橋昂, 小渕智之, 坂田綾香, 樺島祥介
- Organizer
  日本物理学会 2021年秋季大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 高ランクテンソル分解のBPに基づく推定2021
- Author(s)
  長澤莉希, 小渕智之, 吉野元
- Organizer
  日本物理学会第７６回年次大会（２０２１年）
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] ニューラルネットにおける短期記憶の1ビット圧縮センシングによる想起2021
- Author(s)
  杉崎嵐, 寺田裕, 小渕智之, 樺島祥介
- Organizer
  日本物理学会第７６回年次大会（２０２１年）
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 高ランクテンソル分解のBPに基づく推定2021
- Author(s)
  長澤莉希, 小渕智之, 吉野元
- Organizer
  日本物理学会第76回年次大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] SCAD正則化を用いた圧縮センシングに関する信号復元性能の分析2021
- Author(s)
  石井智, 小渕智之, 樺島祥介
- Organizer
  日本物理学会第７６回年次大会（２０２１年）
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 非凸スパース正則化による信号復元とアルゴリズム軌道の制御2021
- Author(s)
  坂田綾香, 小渕智之
- Organizer
  第２４回情報論的学習理論ワークショップ(IBIS2021)
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 高次元確率モデルの扱いについて：統計物理の視点から2020
- Author(s)
  小渕　智之
- Organizer
  電子情報通信学会総合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 高ランクテンソル分解のBPに基づく推定2020
- Author(s)
  長澤莉希, 小渕智之, 吉野元
- Organizer
  日本物理学会
- Data Source
  KAKENHI-PROJECT-19H01812
[Presentation] リサンプリングの近似計算アルゴリズムの理論と実践2020
- Author(s)
  小渕智之
- Organizer
  スマートサンプリング講演会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] リサンプリングの近似計算アルゴリズムの理論と実践2020
- Author(s)
  小渕智之
- Organizer
  スマートサンプリング講演会
- Invited
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 高次元確率モデルの扱いについて：統計物理の視点から2020
- Author(s)
  小渕　智之
- Organizer
  電子情報通信学会総合大会
- Invited
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 1+p体観測による多成分ベクトルの統計的推定2020
- Author(s)
  長澤莉希, 小渕智之, 吉野元
- Organizer
  日本物理学会2020年秋季大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 1+p体観測による多成分ベクトルの統計的推定2020
- Author(s)
  長澤莉希, 小渕智之, 吉野元
- Organizer
  日本物理学会 (名古屋大)
- Data Source
  KAKENHI-PROJECT-19H01812
[Presentation] 教師の結合が疎な場合における逆イジング問題のレプリカ解析と仮説検定2020
- Author(s)
  Alia Abbara, 樺島祥介, 小渕智之, 許インイン
- Organizer
  日本物理学会2020年秋季大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 細胞内生化学反応に関する伝達情報量の解析2020
- Author(s)
  今泉拓也, 小渕智之, 吉澤亮, 佐甲靖志, 樺島祥介
- Organizer
  日本物理学会2020年秋季大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 逆イジング問題のレプリカ法による性能解析：教師の結合が疎な場合2020
- Author(s)
  Alia Abbara, 樺島祥介, 小渕智之, 許インイン
- Organizer
  第２３回情報論的学習理論ワークショップ（IBIS2020）
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 逆イジング問題のレプリカ法による性能解析：教師の結合が疎な場合2020
- Author(s)
  Alia Abbara, 樺島祥介, 小渕智之, 許インイン
- Organizer
  第２３回情報論的学習理論ワークショップ（IBIS2020）
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 教師の結合が疎な場合における逆イジング問題のレプリカ解析と仮説検定2020
- Author(s)
  Alia Abbara, 樺島祥介, 小渕智之, 許インイン
- Organizer
  日本物理学会２０２０年秋季大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] SCAD正則化による圧縮センシングの信号復元2020
- Author(s)
  石井智, 小渕智之, 樺島祥介
- Organizer
  日本物理学会２０２０年秋季大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] レプリカ法を用いたボルツマンマシンに対する経験ベイズ推定2019
- Author(s)
  安田宗樹, 小渕智之
- Organizer
  日本物理学会2019年年次大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration2019
- Author(s)
  Obuchi Tomoyuki, Sakata Ayaka
- Organizer
  Statistical Physics and Neural Computation (SPNC-2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] スパース線形回帰モデルにおけるレプリカ交換モンテカルロ法を用いた変数選択2019
- Author(s)
  石井奨, 小渕智之, 樺島祥介
- Organizer
  日本物理学会2019年年次大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration2019
- Author(s)
  Obuchi Tomoyuki, Sakata Ayaka
- Organizer
  2019 Workshop on Statistical Physics of Disordered Systems and Its Applications (SPDSA2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01812
[Presentation] ボルツマンマシンによる神経細胞集団の有効な非対称結合推定2019
- Author(s)
  小渕　智之
- Organizer
  情報数物研究会 (東北大)
- Invited
- Data Source
  KAKENHI-PROJECT-19H01812
[Presentation] Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration2019
- Author(s)
  Obuchi Tomoyuki, Sakata Ayaka
- Organizer
  Statistical Physics and Neural Computation (SPNC-2019) (Sun Yat-sen University, Guangzhou)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01812
[Presentation] Statistical mechanical analysis of sparse linear regression as a variable selection problem2019
- Author(s)
  Obuchi Tomoyuki
- Organizer
  2019 International Workshop on Glass Physics in Beijing (Institute of Theoretical Physics - Chinese Academy of Sciences (ITP-CAS), Beijing
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01812
[Presentation] Statistical mechanical analysis of sparse linear regression as a variable selection problem2019
- Author(s)
  Obuchi Tomoyuki
- Organizer
  2019 International Workshop on Glass Physics in Beijing (Institute of Theoretical Physics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] Statistical mechanical analysis of sparse linear regression as a variable selection problem2019
- Author(s)
  Obuchi Tomoyuki
- Organizer
  2019 International Workshop on Glass Physics in Beijing
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration2019
- Author(s)
  Obuchi Tomoyuki, Sakata Ayaka
- Organizer
  Statistical Physics and Neural Computation (SPNC-2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] ボルツマンマシンによる神経細胞集団の有効な非対称結合推定2019
- Author(s)
  小渕　智之
- Organizer
  情報数物研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Elastic-net正則化付き多項ロジスティック回帰における交差検証法の加速2019
- Author(s)
  小渕智之, 樺島祥介
- Organizer
  日本物理学会2019年年次大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] ボルツマンマシンによる神経細胞集団の有効な非対称結合推定2019
- Author(s)
  小渕　智之
- Organizer
  情報数物研究会
- Invited
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 高次元確率モデルの扱いについて：統計物理の視点から2019
- Author(s)
  小渕　智之
- Organizer
  電子情報通信学会総合大会 (広島大)
- Invited
- Data Source
  KAKENHI-PROJECT-19H01812
[Presentation] Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration2019
- Author(s)
  Obuchi Tomoyuki, Sakata Ayaka
- Organizer
  2019 Workshop on Statistical Physics of Disordered Systems and Its Applications (SPDSA2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration2019
- Author(s)
  Obuchi Tomoyuki, Sakata Ayaka
- Organizer
  2019 Workshop on Statistical Physics of Disordered Systems and Its Applications (SPDSA2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] Statistical mechanical analysis of sparse linear regression as a variable selection problem2018
- Author(s)
  Tomoyuki Obuchi, Y. Nakanishi-Ohno, M. Okada and Y. Kabashima
- Organizer
  Disordered serendipity: a glassy path to discovery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] Mean-field theory of graph neural networks in graph partitioning2018
- Author(s)
  Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
- Organizer
  Thirty-second Conference on Neural Information Processing Systems (NeurIPS 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] Objective and efficient inference for couplings in neuronal networks2018
- Author(s)
  Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
- Organizer
  Physics, Inference and Learning
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 深層学習によるグラフのコミュニティ構造推定II2018
- Author(s)
  川本達郎, 椿真史, 小渕智之
- Organizer
  日本物理学会2018年秋季大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 非凸正則化付き線形回帰における復号性能2018
- Author(s)
  坂田綾香, 小渕智之
- Organizer
  日本物理学会2018年秋季大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Statistical mechanical analysis of sparse linear regression as a variable selection problem2018
- Author(s)
  Tomoyuki Obuchi, Y. Nakanishi-Ohno, M. Okada and Y. Kabashima
- Organizer
  Disordered serendipity: a glassy path to discovery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Accelerating Cross-Validation in Multinomial Logistic Regression with L1-Regularization2018
- Author(s)
  Tomoyuki Obuchi and Yoshiyuki Kabashima
- Organizer
  Statistical Physics and Machine Learning Back Together
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] Accelerating Cross-Validation in Multinomial Logistic Regression with L1-Regularization2018
- Author(s)
  Tomoyuki Obuchi and Yoshiyuki Kabashima
- Organizer
  Statistical physics and machine learning back together
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] 統計力学的アプローチによるリサンプリング手法の軽量化2018
- Author(s)
  小渕智之
- Organizer
  第３０回RAMPシンポジウム（RAMP2018）
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Objective and efficient inference for couplings in neuronal networks2018
- Author(s)
  Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
- Organizer
  Thirty-second Conference on Neural Information Processing Systems (NeurIPS 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 半解析的ブートストラップ法とその応用2018
- Author(s)
  小渕智之
- Organizer
  第２１回情報論的学習理論ワークショップ（IBIS2018）
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] LASSO+半解析的ブートストラップ法を用いた現実的な変数選択法2018
- Author(s)
  小渕智之, 樺島祥介
- Organizer
  日本物理学会2018年秋季大会
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Mean-field theory of graph neural networks in graph partitioning2018
- Author(s)
  Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
- Organizer
  NeurIPS2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Objective and efficient inference dor couplings in neuronal networks2018
- Author(s)
  Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
- Organizer
  NeurIPS2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11463
[Presentation] Cross validation in sparse linear regression penalized by L_1 regularization variants2017
- Author(s)
  Tomoyuki Obuchi
- Organizer
  Workshop on Statistical physics, Learning, Inference and Networks
- Place of Presentation
  L'Ecole de Physique des Houches, France,
- Year and Date
  2017-02-26
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] トータルバリエーション正則化における近似的交差検証公式2017
- Author(s)
  小渕　智之
- Organizer
  日本物理学会2017年年次大会
- Place of Presentation
  大阪大学
- Year and Date
  2017-03-17
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Approximate cross-validation formula for sparse linear regression2017
- Author(s)
  Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura
- Organizer
  Workshop on Statistical physics, Learning, Inference and Networks
- Place of Presentation
  Les Houches, France
- Year and Date
  2017-02-26
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-25120013
[Presentation] スパース線形回帰のエネルギーランドスケープ解析2017
- Author(s)
  小渕智之, 中西（大野）義典, 岡田真人, 樺島祥介
- Organizer
  日本物理学会 2017年秋季大会
- Data Source
  KAKENHI-PLANNED-25120013
[Presentation] 疎性制約を軟化した模擬徐冷による変数選択2017
- Author(s)
  林華央, 小渕智之, 樺島祥介
- Organizer
  日本物理学会 2017年秋季大会
- Data Source
  KAKENHI-PLANNED-25120013
[Presentation] LASSO推定に関する半解析的ブートストラップ法2017
- Author(s)
  樺島祥介，小渕智之
- Organizer
  日本物理学会２０１７年秋季大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] 半解析的 bootstrapped lasso2017
- Author(s)
  樺島祥介，小渕智之
- Organizer
  日本物理学会第７３回年次大会
- Data Source
  KAKENHI-PROJECT-17H00764
[Presentation] モンテカルロ法によるスパース変数選択2016
- Author(s)
  小渕　智之
- Organizer
  日本物理学会2016年秋季大会
- Place of Presentation
  金沢大学
- Year and Date
  2016-09-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Sampling approach to sparse approximation problem: determining degrees of freedom by simulated annealing2016
- Author(s)
  Tomoyuki Obuchi, Yoshiyuki Kabashima
- Organizer
  The 24th European Signal Processing Conference (EUSIPCO)
- Place of Presentation
  Budapest, Hungary
- Year and Date
  2016-08-28
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-25120013
[Presentation] Approximate cross validation formula for Bayesian linear regression2016
- Author(s)
  Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura
- Organizer
  The 54th Annual Allerton Conference
- Place of Presentation
  Allerton House, UIUC, Illinois, USA
- Year and Date
  2016-09-27
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-25120013
[Presentation] LASSOに基づく透過係数スペクトルのスパース線形回帰2016
- Author(s)
  小渕　智之
- Organizer
  日本物理学会2016年秋季大会
- Place of Presentation
  金沢大学
- Year and Date
  2016-09-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Cross validation in LASSO and its acceralation2016
- Author(s)
  Tomoyuki Obuchi
- Organizer
  Statistical physics methods in biology and computer science
- Place of Presentation
  Ecole Normale Superieure, Paris, France
- Year and Date
  2016-07-11
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Statistical mechanics for variable selection in linear regression: Fast and reliable cross validation2016
- Author(s)
  Tomoyuki Obuchi
- Organizer
  Statphys26
- Place of Presentation
  Centre de Conges de Lyon, Lyon, France
- Year and Date
  2016-07-18
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] スパースな相互作用を導入した群れモデルの統計力学的解析2016
- Author(s)
  Syotaro Hikita, Tomoyuki Obuchi and Yoshiyuki Kabashima
- Organizer
  日本物理学会2016年年次大会
- Place of Presentation
  東北学院大学, 仙台
- Year and Date
  2016-03-22
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Learning probabilities from random observables in high dimensions: the maximum entropy distribution and others2016
- Author(s)
  Tomoyuki Obuchi, Remi Monasson and Simona Cocco
- Organizer
  APS march meeting
- Place of Presentation
  Baltimore, USA
- Year and Date
  2016-03-14
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-25120013
[Presentation] モンテカルロ法に基づいたスパース変数選択における交差検定法2016
- Author(s)
  小渕　智之
- Organizer
  日本物理学会2016年秋季大会
- Place of Presentation
  金沢大学
- Year and Date
  2016-09-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Theoretical performance analysis of sparse approximation problem2016
- Author(s)
  Tomoyuki Obuchi and Yoshiyuki Kabashima
- Organizer
  Physics Informed Machine Learning
- Place of Presentation
  Santa Fe, USA
- Year and Date
  2016-01-19
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-25120013
[Presentation] LASSO推定に関する半解析的交差検証法2016
- Author(s)
  Tomoyuki Obuchi and Yoshiyuki Kabashima
- Organizer
  日本物理学会2016年年次大会
- Place of Presentation
  東北学院大学, 仙台
- Year and Date
  2016-03-22
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Learning probabilities from random observables in high dimensions: the maximum entropy distribution and others2016
- Author(s)
  Tomoyuki Obuchi, Remi Monasson, and Simona Cocco
- Organizer
  APS March meeting
- Place of Presentation
  Baltimore Convention Center, Baltimore, USA
- Year and Date
  2016-03-15
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Dynamical singularity of fidelity in quantum quench: Towards its experimental observation2016
- Author(s)
  Tomoyuki Obuchi
- Organizer
  Entanglement and non-equilibrium physics of pure and disordered systems
- Place of Presentation
  ICTP, Triestem Italy
- Year and Date
  2016-07-25
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Theoretical performance analysis of sparse approximation problem2016
- Author(s)
  Tomoyuki Obuchi and Yoshiyuki Kabashima
- Organizer
  Physics Informed Machine Learning
- Place of Presentation
  Inn at Loretto, Santa Fe, USA
- Year and Date
  2016-01-19
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] モーメントマッチング条件により拘束される確率分布の相空間構造と最大エントロピー法2015
- Author(s)
  小渕　智之、Remi Monasson、Simona Cocco
- Organizer
  第31回情報統計力学研究会
- Place of Presentation
  北海道大学, 札幌
- Year and Date
  2015-01-06
- Invited
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] 過完備基底による歪有圧縮のレート歪関係2015
- Author(s)
  中西（大野）義典，小渕智之，岡田真人，樺島祥介2015
- Organizer
  日本物理学会第70回年次大会
- Place of Presentation
  早稲田大学
- Year and Date
  2015-03-24
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] 不定線形方程式におけるスパース解の分布について2015
- Author(s)
  Tomoyuki Obuchi and Yoshiyuki Kabashima
- Organizer
  日本物理学会2015年秋季大会
- Place of Presentation
  関西大学, 大阪
- Year and Date
  2015-09-19
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] 過完備基底圧縮の統計力学的解析2014
- Author(s)
  中西（大野）義典，小渕智之，岡田真人，樺島祥介
- Organizer
  第37回情報理論とその応用シンポジウム
- Place of Presentation
  宇奈月ニューオータニホテル
- Year and Date
  2014-12-10
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Properties of Probability Distributions Constrained by Observables: Implication to Maximum Entropy Modeling
- Author(s)
  Tomoyuki Obuchi, Remi Monasson, and Simona Cocco
- Organizer
  Statphys-Kolkata VIII
- Place of Presentation
  S.N.Bose Laboratory, Kolkata
- Year and Date
  2014-11-30 – 2014-12-06
- Invited
- Data Source
  KAKENHI-PROJECT-26870185
[Presentation] Properties of Probability Distributions Constrained by Observables: Implication to Maximum Entropy Modeling
- Author(s)
  Tomoyuki Obuchi, Remi Monasson, and Simona Cocco
- Organizer
  Collective Dynamics in Information Systems
- Place of Presentation
  KITPC, Beijing
- Year and Date
  2014-10-08 – 2014-10-31
- Data Source
  KAKENHI-PROJECT-26870185

1. Kabashima Yoshiyuki (80260652)

# of Collaborated Projects: 3 results

# of Collaborated Products: 33 results
2. Yoshino Hajime (50335337)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
3. 坂田綾香 (80733071)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
4. 金森敬文 (60334546)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 竹田晃人 (70397040)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 渡邊澄夫 (80273118)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 井上純一 (30311658)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 池田昌司 (00731556)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 金鋼 (20442527)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 宮崎州正 (40449913)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. YASUDA Muneki

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
12. 池田思朗

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
13. 岡田真人

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
14. 寺田裕

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
15. 中西義典

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Obuchi Tomoyuki 小渕 智之

小渕 智之 オブチ トモユキ

Research Projects

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Co-Researchers

Statistical mechanics approach to high-dimensional machine learning

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Evolution of data science theory through analysis of solvable modelsPrincipal Investigator

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Physics of Glass and Jamming Transitions Captured by Spins: from Soft Matter Physics to Statistical Physics of Information Processing

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Statistical mechanics and sparse modeling approach to large-scale inverse problemsPrincipal Investigator

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Development and systemization of semi-analytic resampling method: Reliability evaluation by statistical mechanics

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A comprehensive study of learning, inference, and inverse problems based on the spin-glass theoryPrincipal Investigator

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Statistical mechanics approach to massive sparse modeling

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スピングラス理論に基づいた逆問題の統計力学的研究Principal Investigator

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[Journal Article] Sparse Modeling for Spectrometer Based on Band Measurement2024

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[Journal Article] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023

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[Journal Article] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023

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[Journal Article] On Model Selection Consistency of Lasso for High-Dimensional Ising Models2023

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[Journal Article] Assessing transfer entropy from biochemical data2022

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[Journal Article] Structure learning in inverse Ising problems using ? <sub>2</sub>-regularized linear estimator2021

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Obuchi Tomoyuki 小渕智之

小渕智之オブチトモユキ