Basic Information

Faculty

• 工学部

Academic Degree

• 修士（理学）(東京工業大学)
• 博士（理学）(東京工業大学)

Research History

• From Dec. 2019, To Present

  Kyoto University, Graduate School of Informatics Department of Systems Science, Associate professor
• From Apr. 2016, To Nov. 2019

  Tokyo Institute of Technology, School of Computing, Assistant Professor
• From Oct. 2013, To Mar. 2016

  Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Assistant Professor
• From Sep. 2012, To Sep. 2013

  Ecole Normale Superieure Paris, Department of theoretical physics, Postdoctoral researcher
• From Apr. 2012, To Sep. 2013

  Osaka University, Cybermedia Center, 日本学術振興会特別研究員PD
• From Apr. 2010, To Mar. 2012

  Osaka University, Graduate School of Science Department of Earth and Space Science, 特任研究員
• From Apr. 2008, To Mar. 2010

  Tokyo Institute of Technology, Graduate School of Science and Engineering, 日本学術振興会特別研究員DC2

ID,URL

• J-Global ID

  201601006273009258

• Researcher number

  40588448

• External link

  http://www-adsys.sys.i.kyoto-u.ac.jp/obuchi/index.html

researchmap URL

• https://researchmap.jp/tobuchi

Research

Research Topics, Overview of the research

• Research Topics

  The applied mathematical aspects of statistical mechanics, a branch of physics, is pursued. The current main focus is on applications to the field of machine learning.

• Overview of the research

  Theoretical issues in information theory and machine learning are studied using techniques from statistical physics such as replica method, mean-field approximation, and Monte Carlo methods. Some notable research achievements so far include the clarification of reconstruction limits and the development of hyperparameter estimation methods in sparse estimation. Currently, I am interested in enhancing our understanding of modern machine learning models having complex structures, such as deep learning. To this end, theoretical analyses in some specific models and tasks are conducted. Some new learning frameworks are suggested based on those analyses.

Research Interests

• 数理生物
• information theory
• quantum dynamics
• machine learning
• learning theory
• statistical physics

Research Areas

• Informatics, Soft computing
• Natural sciences, Mathematical physics and basic theory
• Informatics, Statistical science

Papers

• Sparse Modeling for Spectrometer Based on Band Measurement

  Kyoya Uemura; Tomoyuki Obuchi; Toshiyuki Tanaka

  21 Jul. 2023

  
• On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs

  Xiangming Meng; Tomoyuki Obuchi; Yoshiyuki Kabashima

  Proceedings of Machine Learning Research, 2023, Peer-reviewed

  
• 22pBT-11 Statistical mechanical analysis on flocks model in which interactions are defined on sparse graph

  Hikita S.; Obuchi T.; Kabashima Y.

  Meeting Abstracts of the Physical Society of Japan, 2016

  
• 22pBT-10 Semi-analytic cross validation method for LASSO

  Obuchi T.; Kabashima Y.

  Meeting Abstracts of the Physical Society of Japan, 2016

  
• 19aCQ-5 Distribution of sparse solutions in indeterminate linear equations

  Obuchi T.; Kabashima Y.

  Meeting Abstracts of the Physical Society of Japan, 2015

  
• Assessing transfer entropy from biochemical data

  Takuya Imaizumi; Nobuhisa Umeki; Ryo Yoshizawa; Tomoyuki Obuchi; Yasushi Sako; Yoshiyuki Kabashima

  Physical Review E, 08 Mar. 2022

  
• Ising Model Selection Using $\ell_1$-Regularized Linear Regression: A Statistical Mechanics Analysis

  Xiangming Meng; Tomoyuki Obuchi; Yoshiyuki Kabashima

  Advances in Neural Information Processing Systems, Aug. 2021

  
• Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control

  Ayaka Sakata; Tomoyuki Obuchi

  Journal of Statistical Mechanics: Theory and Experiment, 01 Sep. 2021, Last author

  
• Sharp Asymptotics of Matrix Sketching for a Rank-One Spiked Model

  Fumito Tagashira; Tomoyuki Obuchi; Toshiyuki Tanaka

  2021 IEEE International Symposium on Information Theory (ISIT), 12 Jul. 2021

  
• Structure learning in inverse Ising problems using ℓ 2-regularized linear estimator

  Xiangming Meng; Tomoyuki Obuchi; Yoshiyuki Kabashima

  Journal of Statistical Mechanics: Theory and Experiment, 01 May 2021

  
• Reconstructing Sparse Signals via Greedy Monte-Carlo Search

  Kao Hayashi; Tomoyuki Obuchi; Yoshiyuki Kabashima

  Journal of the Physical Society of Japan, 15 Dec. 2020, Corresponding author

  
• Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion

  Yu Terada; Tomoyuki Obuchi; Takuya Isomura; Yoshiyuki Kabashima

  Neural Computation, Nov. 2020

  
• Learning performance in inverse Ising problems with sparse teacher couplings

  Alia Abbara; Yoshiyuki Kabashima; Tomoyuki Obuchi; Yingying Xu

  Journal of Statistical Mechanics: Theory and Experiment, 06 Jul. 2020, Peer-reviewed

  
• Empirical Bayes method for Boltzmann machines

  Muneki Yasuda; Tomoyuki Obuchi

  Journal of Physics A: Mathematical and Theoretical, 10 Jan. 2020

  
• Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration

  Tomoyuki Obuchi; Ayaka Sakata

  Journal of Physics A: Mathematical and Theoretical, 11 Oct. 2019

  
• Semi-Analytic Resampling in Lasso

  Tomoyuki Obuchi; Yoshiyuki Kabashima

  Journal of Machine Learning Research, Apr. 2019, Peer-reviewed

  
• Statistical mechanical analysis of sparse linear regression as a variable selection problem

  Tomoyuki Obuchi; Yoshinori Nakanishi-Ohno; Masato Okada; Yoshiyuki Kabashima

  Journal of Statistical Mechanics: Theory and Experiment, Oct. 2018, Peer-reviewed

  
• Mean-field theory of graph neural networks in graph partitioning

  Tatsuro Kawamoto; Masashi Tsubaki; Tomoyuki Obuchi

  Advances in Neural Information Processing Systems 31, Sep. 2018, Peer-reviewed

  
• Objective and efficient inference for couplings in neuronal networks

  Yu Terada; Tomoyuki Obuchi; Takuya Isomura; Yoshiyuki Kabashima

  Advances in Neural Information Processing Systems 31, Sep. 2018, Peer-reviewed

  
• Accelerating Cross-Validation in Multinomial Logistic Regression with L1-Regularization

  Tomoyuki Obuchi; YOSHIYUKI KABASHIMA

  Journal of Machine Learning Research, Sep. 2018, Peer-reviewed

  
• Accelerating cross-validation with total variation and its application to super-resolution imaging

  Tomoyuki Obuchi; Shiro Ikeda; Kazunori Akiyama; Yoshiyuki Kabashima

  PLoS ONE, Dec. 2017, Peer-reviewed

  
• Complex semiclassical analysis of the Loschmidt amplitude and dynamical quantum phase transitions

  Tomoyuki Obuchi; Sei Suzuki; Kazutaka Takahashi

  PHYSICAL REVIEW B, May 2017, Peer-reviewed

  
• Random versus maximum entropy models of neural population activity

  Ulisse Ferrari; Tomoyuki Obuchi; Thierry Mora

  PHYSICAL REVIEW E, Apr. 2017, Peer-reviewed

  
• Sampling approach to sparse approximation problem: Determining degrees of freedom by simulated annealing

  Tomoyuki Obuchi; Yoshiyuki Kabashima

  European Signal Processing Conference, 28 Nov. 2016, Peer-reviewed

  
• Relative species abundance of replicator dynamics with sparse interactions

  Tomoyuki Obuchi; Yoshiyuki Kabashima; Kei Tokita

  JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Nov. 2016, Peer-reviewed

  
• Boltzmann-machine learning of prior distributions of binarized natural images

  Tomoyuki Obuchi; Hirokazu Koma; Muneki Yasuda

  Journal of the Physical Society of Japan (JPSJ), Oct. 2016, Peer-reviewed

  
• Multiple peaks of species abundance distributions induced by sparse interactions

  Tomoyuki Obuchi; Yoshiyuki Kabashima; Kei Tokita

  PHYSICAL REVIEW E, Aug. 2016, Peer-reviewed

  
• Sparse approximation based on a random overcomplete basis

  Yoshinori Nakanishi-Ohno; Tomoyuki Obuchi; Masato Okada; Yoshiyuki Kabashima

  JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Jun. 2016, Peer-reviewed

  
• Cross validation in LASSO and its acceleration

  Tomoyuki Obuchi; Yoshiyuki Kabashima

  JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, May 2016, Peer-reviewed

  
• Monte Carlo Approach to sparse approximation problem

  Obuchi Tomoyuki; Kabashima Yoshiyuki

  Meeting Abstracts of the Physical Society of Japan, 2016

  
• Sparse linear regression for transmission coefficient based on LASSO

  Obuchi Tomoyuki; Kabashima Yoshiyuki; Ando Yasunobu; Fujikake So; Watanabe Satoshi

  Meeting Abstracts of the Physical Society of Japan, 2016

  
• Cross validation in Monte Carlo method for sparse approximation problem

  Obuchi Tomoyuki; Kabashima Yoshiyuki

  Meeting Abstracts of the Physical Society of Japan, 2016

  
• Sparse approximation problem: how rapid simulated annealing succeeds and fails

  Tomoyuki Obuchi; Yoshiyuki Kabashima

  INTERNATIONAL MEETING ON HIGH-DIMENSIONAL DATA-DRIVEN SCIENCE (HD3-2015), 2016, Peer-reviewed

  
• Approximate cross-validation formula for Bayesian linear regression

  Yoshiyuki Kabashima; Tomoyuki Obuchi; Makoto Uemura

  2016 54TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2016, Peer-reviewed

  
• Learning probabilities from random observables in high dimensions: the maximum entropy distribution and others

  Tomoyuki Obuchi; Simona Cocco; Rémi Monasson

  Journal of Statistical Physics, Aug. 2015, Peer-reviewed

  
• Learning probability distributions from smooth observables and the maximum entropy principle: some remarks

  Tomoyuki Obuchi; Remi Monasson

  STATPHYS-KOLKATA VIII, 2015, Peer-reviewed

  
• Monte Carlo simulations of the three-dimensional XY spin glass focusing on chiral and spin order

  Tomoyuki Obuchi; Hikaru Kawamura

  Physical Review B - Condensed Matter and Materials Physics, 31 May 2013, Peer-reviewed

  
• Zeros of the partition function and dynamical singularities in spin-glass systems

  K. Takahashi; T. Obuchi

  ELC INTERNATIONAL MEETING ON INFERENCE, COMPUTATION, AND SPIN GLASSES (ICSG2013), 2013, Peer-reviewed

  
• Dynamical singularities of glassy systems in a quantum quench

  Tomoyuki Obuchi; Kazutaka Takahashi

  PHYSICAL REVIEW E, Nov. 2012, Peer-reviewed

  
• Spin and chiral orderings of the antiferromagnetic XY model on the triangular lattice and their critical properties

  Tomoyuki Obuchi; Hikaru Kawamura

  Journal of the Physical Society of Japan, Apr. 2012, Peer-reviewed

  
• Partition-function zeros of spherical spin glasses and their relevance to chaos

  Tomoyuki Obuchi; Kazutaka Takahashi

  JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Mar. 2012, Peer-reviewed

  
• Statistical mechanical analysis of a hierarchical random code ensemble in signal processing

  Tomoyuki Obuchi; Kazutaka Takahashi; Koujin Takeda

  JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Feb. 2011, Peer-reviewed

  
• Replica symmetry breaking, complexity, and spin representation in the generalized random energy model

  Tomoyuki Obuchi; Kazutaka Takahashi; Koujin Takeda

  Journal of Physics A: Mathematical and Theoretical, Nov. 2010, Peer-reviewed

  
• Zero-temperature complex replica zeros of the ±J Ising spin glass on mean-field systems and beyond

  Tomoyuki Obuchi; Yoshiyuki Kabashima; Hidetoshi Nishimori; Masayuki Ohzeki

  Physica E: Low-dimensional Systems and Nanostructures, Jan. 2011

  
• Role of the finite replica analysis in the mean-field theory of spin glasses

  Tomoyuki Obuchi

  Mar. 2010, Peer-reviewed

  
• Distribution of partition function zeros of the ± J model on the Bethe lattice

  Yoshiki Matsuda; Markus Müller; Hidetoshi Nishimori; Tomoyuki Obuchi; Antonello Scardicchio

  Journal of Physics A: Mathematical and Theoretical, 2010, Peer-reviewed

  
• Weight space structure and analysis using a finite replica number in the Ising perceptron

  Tomoyuki Obuchi; Yoshiyuki Kabashima

  JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Dec. 2009, Peer-reviewed

  
• Complex replica zeros of +/- J Ising spin glass at zero temperature

  Tomoyuki Obuchi; Yoshiyuki Kabashima; Hidetoshi Nishimori

  JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Feb. 2009, Peer-reviewed

  
• Phase diagram of the p-spin-interacting spin glass with ferromagnetic bias and a transverse field in the infinite-p limit

  Tomoyuki Obuchi; Hidetoshi Nishimori; David Sherrington

  JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, May 2007, Peer-reviewed

  

Misc.

• Statistical mechanical analysis of hierarchical random code ensemble in signal processing

  TAKEDA Koujin; OBUCHI Tomoyuki; TAKAHASHI Kazutaka

  IEICE technical report, 28 Oct. 2010

  
• 21aGU-8 Monte-Carlo simulation of the anti-ferromagnetic XY model on a triangular lattice : Chiral/Spin transitions and their universality classes

  Obuchi Tomoyuki; Kawamura Hikaru

  Meeting abstracts of the Physical Society of Japan, 24 Aug. 2011

  
• 25pTE-14 Spin and chiral transitions of the anti-ferromagnetic XY model on a triangular lattice and their universality classes

  Obuchi Tomoyuki; Kawamura Hikaru

  Meeting abstracts of the Physical Society of Japan, 03 Mar. 2011

  
• 25pTD-5 Performance of a hierarchical random code and the replica symmetry breaking

  Obuchi Tomoyuki; Takeda Koujin; Takahashi Kazutaka

  Meeting abstracts of the Physical Society of Japan, 18 Aug. 2010

  
• 23pTH-2 Replica symmetry breaking and complexity in hierarchical random energy model

  Takahashi Kazutaka; Obuchi Tomoyuki; Takeda Koujin

  Meeting abstracts of the Physical Society of Japan, 18 Aug. 2010

  
• 25aQL-4 Finite Replica Analysis of Simple Perceptron and Complexity

  Obuchi Tomoyuki; Kabashima Yoshiyuki

  Meeting abstracts of the Physical Society of Japan, 18 Aug. 2009

  
• 22aTJ-2 Zeros of nth moment of the distribution function on complex replica plane

  Obuchi Tomoyuki; Nishimori Hidetoshi

  Meeting abstracts of the Physical Society of Japan, 21 Aug. 2007

  
• 23aXD-4 Phase diagram of the random energy model in a transverse field

  Obuchi Tomoyuki; Nishimori Hidetoshi

  Meeting abstracts of the Physical Society of Japan, 18 Aug. 2006

  
• 27aTJ-4 Lee-Yang zeros of the ±J model of spin glasses on the Bethe lattice

  Matsuda Y.; Nishimori H.; Obuchi T.; Scardicchio Antonello

  Meeting abstracts of the Physical Society of Japan, 03 Mar. 2009

  
• 18pWA-10 Phase diagram of the SK model in a transverse field at zero temperature

  Obuchi Tomoyuki; Nishimori Hidetoshi

  Meeting abstracts of the Physical Society of Japan, 28 Feb. 2007

  
• Relative species abundance of replicator dynamics with sparse interactions

  Tokita Kei; Kabashima Yoshiyuki; Obuchi Tomoyuki

  Journal of Statistical Mechanics: Theory and Experiment, 16 Nov. 2016

  
• International Meeting on "high-Dimensional Data-Driven Science" (HD3-2017)

  Masayuki Ohzeki; Teppei Ikeya; Tatsu Kuwatani; Yoshinori Nakanishi-Ohno; Masamichi J. Miyama; Tomoyuki Obuchi

  Journal of Physics: Conference Series, 27 Jun. 2018

  
• 24aBL-5 Rate-distortion relation of lossy data compression using overcomplete basis

  Nakanishi-Ohno Y.; Obuchi T.; Okada M.; Kabashima Y.

  Meeting Abstracts of the Physical Society of Japan, 24 Mar. 2015

  
• 過完備基底圧縮の統計力学的解析

  中西(大野)義典; 小渕智之; 岡田真人; 樺島祥介

  情報理論とその応用シンポジウム予稿集(CD-ROM), 02 Dec. 2014

  
• 過完備基底を用いた歪有圧縮の統計力学的解析

  中西(大野)義典; 小渕智之; 岡田真人; 樺島祥介

  電子情報通信学会技術研究報告, 10 Nov. 2014

  
• 7pAR-9 Performance evaluation of overcomplete basis compression by the replica method

  Nakanishi-Ohno Yoshinori; Obuchi Tomoyuki; Okada Masato; Kabashima Yoshiyuki

  Meeting abstracts of the Physical Society of Japan, 22 Aug. 2014

  
• 19aAD-9 Replicator equations with (p+r)-body species interactions

  Oura Takeshi; Obuchi Tomoyuki; Tokita Kei

  Meeting abstracts of the Physical Society of Japan, 24 Aug. 2012

  
• 25pAG-9 Equilibrium Monte-Carlo Approch to Ordering of Three-Dimensional XY Spin Glasses

  Obuchi Tomoyuki; Kawamura Hikaru

  Meeting abstracts of the Physical Society of Japan, 05 Mar. 2012

  
• 20aVC-10 Relation between complex replica zeros and some kinds of phase transitions

  Obuchi Tomoyuki; Nishimori Hidetoshi; Kabashima Yoshiyuki

  Meeting abstracts of the Physical Society of Japan, 25 Aug. 2008

  
• 26pWF-8 Zeros of the replicated partition function on the complex replica plane : in the presence of the RSB

  Obuchi Tomoyuki; Nishimori Hidetoshi; Kabashima Yoshiyuki

  Meeting abstracts of the Physical Society of Japan, 29 Feb. 2008

  

External funds: Kakenhi

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

  Grant-in-Aid for Scientific Research (B)

  Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related

  Osaka University

  Hajime Yoshino

  From 01 Apr. 2019, To 31 Mar. 2022, Project Closed

  ガラス転移;ジャミング;フラストレート磁性;コロイド;制約充足問題;統計的推定;ニューラルネットワーク;ヤーンテラー効果;スピングラス;深層ニューラルネットワーク;ジャミング転移;フラストレートスピン系;ソフトマター;情報統計力学;機械学習

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19H01812/
• Statistical mechanics and sparse modeling approach to large-scale inverse problems

  Grant-in-Aid for Scientific Research (C)

  Basic Section 61040:Soft computing-related

  Kyoto University;Tokyo Institute of Technology

  Tomoyuki Obuchi

  From 01 Apr. 2018, To 31 Mar. 2022, Project Closed

  情報統計力学;スパースモデリング;統計的逆問題;機械学習;近似推論

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K11463/
• 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

  Grant-in-Aid for Scientific Research (A)

  The University of Tokyo;Tokyo Institute of Technology

  樺島 祥介

  From 01 Apr. 2017, To 31 Mar. 2022, Granted

  リサンプリング;交差検証法;ブートストラップ;レプリカ法;平均場近似;ブートストラップ法;確率伝搬法;期待値伝搬法;ランダム行列

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17H00764/
• A comprehensive study of learning, inference, and inverse problems based on the spin-glass theory

  Grant-in-Aid for Young Scientists (B)

  Tokyo Institute of Technology

  Tomoyuki Obuchi

  From 01 Apr. 2014, To 31 Mar. 2017, Project Closed

  逆問題・多自由度推定;統計的学習理論・機械学習;統計物理学;最大エントロピー法;スパースモデリング;逆問題;機械学習;ニューラルネットワーク;ベイズ統計

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26870185/
• Statistical mechanics approach to massive sparse modeling

  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

  Complex systems

  Tokyo Institute of Technology

  Yoshiyuki KABASHIMA

  From 28 Jun. 2013, To 31 Mar. 2018, Project Closed

  圧縮センシング;潜在変数モデリング;モデル選択;レプリカ法;平均場近似;特異モデル;統計力学;情報量基準;交差検証法;行列分解

  https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-25120013/
• スピングラス理論に基づいた逆問題の統計力学的研究

  Grant-in-Aid for Young Scientists (B)

  Osaka University

  小渕 智之

  From 01 Apr. 2012, To 31 Mar. 2013, Declined

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24740264/
• Evolution of data science theory through analysis of solvable models

  Grant-in-Aid for Scientific Research (C)

  Basic Section 61040:Soft computing-related

  Kyoto University

  小渕 智之

  From 01 Apr. 2022, To 31 Mar. 2026, Granted

  機械学習;データ科学;情報統計力学;可解モデル

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K12179/
• Statistical mechanics approach to high-dimensional machine learning

  Grant-in-Aid for Transformative Research Areas (A)

  Transformative Research Areas, Section (II)

  The University of Tokyo

  樺島 祥介

  From 16 Jun. 2022, To 31 Mar. 2027, Granted

  レプリカ法;キャビティ法;深層学習;アルゴリズム開発;性能分析

  https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-22H05117/

External funds: others

• 統計力学的アプローチによる、大規模スパースモデリングの理論と技術の強化

  住友財団, 基礎科学研究助成

  From 16 Nov. 2017, To 30 Nov. 2018

  小渕トモユキ

Education

Teaching subject(s)

• From 01 Apr. 2023, To 31 Mar. 2024

  Mathematical theory of information and communications

  9142, Fall, Faculty of Engineering, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Information-theoretic systems thory

  3555, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Systems Science, Advanced I

  3542, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Systems Science, Advanced II

  3512, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Systems Science, Advanced II

  3512, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Information-theoretic systems thory

  3555, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Mathematical theory of information and communications

  9142, Fall, Faculty of Engineering, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Systems Science, Advanced I

  3542, Spring, Graduate School of Informatics, 2
• From Apr. 2020, To Mar. 2021

  Mathematical theory of information and communications

  Fall, 工学部
• From Apr. 2020, To Mar. 2021

  Introduction to Systems Analysis

  Fall, 工学部
• From Apr. 2020, To Mar. 2021

  Adaptive Systems Theory

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  ILAS Seminar :Starting statistical mechanics from scratch

  Spring, 全学共通科目
• From Apr. 2021, To Mar. 2022

  Mathematical theory of information and communications

  Fall, 工学部
• From Apr. 2021, To Mar. 2022

  Systems Science, Advanced II

  Fall, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Systems Science, Advanced I

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Introduction to Systems Analysis

  Fall, 工学部
• From Apr. 2021, To Mar. 2022

  Adaptive Systems Theory

  Spring, 情報学研究科

Administration

Faculty management (title, position)

• From 01 Apr. 2020, To 31 Mar. 2022

  評価WG

Academic, Social Contribution

Committee Memberships

• From Oct. 2017, To Sep. 2018

  領域１１運営委員, 日本物理学会