Research field (1)：
Mathematical physics and basic theory
Research keywords (3)：
statistical mechanics
, information theory
, machine learning
Research theme for competitive and other funds (21)：
2022 - 2027 Statistical mechanics approach to high-dimensional machine learning
2022 - 2027 Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundame ntal Physics by A New Field Integrating Machine Learning and Physics
2020 - 2024 in silicoとロボットによる創薬支援システムの開発とシャーガス病治療薬探索
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
2013 - 2018 Statistical mechanics approach to massive sparse modeling
2013 - 2018 Support and publicity for initialtive for High-dimensional Data-Driven Science through deepening of sparse modeling
2012 - 2017 Exploring the Limits of Computation from the Statistical Physics
2012 - 2015 大規模な確率推論への情報統計力学的アプローチ
2010 - 2014 Graph bisection problem: approaches from statistical mechanics and theoretical computer science
2006 - 2009 Management Research on "Deepening and Expansion of Statistical Mechanical Informatics"
2006 - 2009 Study on replica extension of approximate probability calculation algorithms
2005 - 2007 Research on replica symmetry breaking in sparsely connected spin glass models
2002 - 2006 ナチュラルコンピューティングの分子実現とその設計論
2002 - 2006 Statistical Mechanical Approach to Probabilistic Information Processing
2002 - 2005 Establishment of statistical mechanical methods in information sciences
2001 - 2002 情報通信の信頼性に関する統計力学に基づく新しい評価法の確立
2001 - 2002 Analyses of Randomized Algorithms for Constraint Satisfaction Problems
2000 - 2000 知識情報処理への統計力学的アプローチ
1998 - 1999 希釈ランダムスピンモデルを用いた誤り訂正符号化法に関する研究
1994 - 1994 統計力学的観点からの学習の理論的研究
1994 - 1994 記憶・学習の非平衡統計力学的な観点からの基礎的研究
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Papers (174)：
Kaito Takanami, Daisuke Taniguchi, Masafumi Kuroda, Sawako Enoki, Yasushi Okada, Yoshiyuki Kabashima. Detection of diffusion anisotropy from an individual short particle trajectory. Physical Review Research. 2024. 6. 3. 033272-1-033272-13
Makiko Konoshima, Hirotaka Tamura, Yoshiyuki Kabashima. Generating Gradients in the Energy Landscape Using Rectified Linear Type Cost Functions for Efficiently Solving 0/1 Matrix Factorization in Simulated Annealing. Journal of the Physical Society of Japan. 2024. 93. 4. 044002-1-044002-7
Ayaka Sakata, Yoshiyuki Kabashima. Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing. IEEE Transactions on Information Theory. 2023. 69. 9. 5902-5920
Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima. Average case analysis of Lasso under ultra sparse conditions. Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (PMLR). 2023. 206. 11317-11330
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima. On Model Selection Consistency of Lasso for High-Dimensional Ising Models. Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (PMLR). 2023. 206. 6783-6805
Tokita Kei, Kabashima Yoshiyuki, Obuchi Tomoyuki. Relative species abundance of replicator dynamics with sparse interactions. Journal of Statistical Mechanics: Theory and Experiment. 2016. 2016. 113502-113502
International Workshop on Statistical-Mechanical Informatics 2010 : (IW-SMI 2010), Kyoto, Japan, 7-10 March 2010
Institute of Physics 2010 ISBN:9781617387753
1991 - 1993 Kyoto University Graduate School of Science PhD course
1989 - 1991 Kyoto University Graduate School of Science MSc course
1985 - 1989 Kyoto University Faculty of Science
Professional career (1)：
Ph.D (Kyoto University)
Work history (10)：
2023/04 - 現在 Professor, Trans-Scale Quantum Science Institute, The University of Tokyo,
2020/04 - 現在 The University of Tokyo Institute for Physics of Intelligence, Graduate School of Science Professor
2020/04 - 現在 Tokyo Institute of Technology
2020/04 - 2023/03 Tokyo Institute of Technology Department of Mathematical and Computing Science
2016/04 - 2020/03 Tokyo Institute of Technology School of Computing Professor
2004/01 - 2016/03 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering, Department of Computational Intelligence and Systems Science Professor
2000/04 - 2003/12 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering, Department of Computational Intelligence and Systems Science Associate Professor
1996/04 - 2000/03 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering, Department of Computational Intelligence and Systems Science Lecturer
1993/11 - 1996/03 Nara Women's University Faculty of Science Assistant Professor
1993/04 - 1993/10 日本学術振興会特別研究員DC2
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Awards (8)：
2018 - 2018 Journal of the Physical Society of Japan 閲読者賞
2010 - 三菱財団自然科学研究助成
2008 - 計測自動制御学会著述賞
2007 - 第11回久保亮五記念賞
2006 - 科学技術分野の文部科学大臣表彰 若手科学者賞
2000 - 第14回日本IBM科学賞
1997 - 日本神経回路学会 日本神経回路学会奨励賞
1993 - IJCNN Nagoya93 Student Award
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Association Membership(s) (4)：
THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
, THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
, JAPANESE NEURAL NETWORK SOCIETY
, THE PHYSICAL SOCIETY OF JAPAN
