Karasuyama Masayuki 烏山昌幸

… Alternative Names

KARASUYAMA Masayuki 烏山昌幸

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Researcher Number	40628640
Other IDs
Affiliation (Current)	2025: 名古屋工業大学, 工学(系)研究科(研究院), 准教授
Affiliation (based on the past Project Information) *help	2016 – 2025: 名古屋工業大学, 工学(系)研究科(研究院), 准教授 2015 – 2016: 名古屋工業大学, 工学(系)研究科(研究院), 助教 2012 – 2014: 京都大学, 化学研究所, 助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / Intelligent informatics / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Intelligent informatics Except Principal Investigator Medium-sized Section 26:Materials engineering and related fields / Medium-sized Section 30:Applied physics and engineering and related fields / Complex systems / Intelligent informatics
Keywords	Principal Investigator 機械学習 / 半教師付き学習 / バイオインフォマティクス / グラフ / マルチタスク最適化 / BiLevel最適化 / 多目的最適化 / 制約付き最適化 / マルチフィデリティ最適化 / 材料情報学 … More / ベイズ最適化 / 凸最適化 / マイニング / グラフデータ / 系列データ / 構造データ / パターンマイニング / 疎性モデリング / 多様体 / 半教師学習 / 多様体学習 … More Except Principal Investigator 機械学習 / アモルファス構造 / 光触媒材料 / アモルファス / 光触媒 / マルチフィジクスシミュレーション / シミュレーション / SiC / 結晶成長 / ヒト行動認識 / 時系列解析 / 統計科学 / 人工知能 / バイオロギング / 時系列データ / データマイニング / 動物行動 / 統計推論 / 系列データ分析 / 変化点検出 / 動物行動学 / 系列マイニング / 選択的推論 / 軌跡マイニング / 高速感度分析 / 最適保障計算 / パターンマイニング / 凸最適化 / スクリーニング / ビッグデータ Less

深層グラフマイニングによる精度と解釈性に優れたグラフデータ解析法の構築Principal Investigator
- Principal Investigator
  
  烏山昌幸
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  Nagoya Institute of Technology
チタニアガラス薄膜中の欠陥制御による機能性表面の創成と高光活性材料の開発
- Principal Investigator
  
  田村友幸
- Project Period (FY)
  2023 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 26:Materials engineering and related fields
- Research Institution
  Nagoya Institute of Technology
Complex crystal growth modeling and process design in latent space
- Principal Investigator
  
  宇治原徹
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 30:Applied physics and engineering and related fields
- Research Institution
  Nagoya University
多様な探索問題のための情報論的ベイズ最適化の構築と材料科学データでの実践Principal Investigator
- Principal Investigator
  
  烏山昌幸
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Nagoya Institute of Technology
Knowledge extraction from large-scale sequence data by combining pattern mining and sparse modelingPrincipal Investigator
- Principal Investigator
  
  Karasuyama Masayuki
- Project Period (FY)
  2017 – 2020
- Research Category
  
  Grant-in-Aid for Young Scientists (A)
- Research Field
  
  Intelligent informatics
- Research Institution
  Nagoya Institute of Technology
Development of statistical data analysis framework for navigation and human mobility data analysis
- Principal Investigator
  
  Ichiro Takeuchi
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Complex systems
- Research Institution
  Nagoya Institute of Technology
Theory and application of optimality-guaranteed screening methods for big-data analysis
- Principal Investigator
  
  takeuchi ichiro
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Nagoya Institute of Technology
A machine learning based approach to analysing latent substructure of graph dataPrincipal Investigator
- Principal Investigator
  
  Karasuyama Masayuki
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Nagoya Institute of Technology
  Kyoto University
A study on optimizing graphs for machine learning algorithmsPrincipal Investigator
- Principal Investigator
  
  KARASUYAMA Masayuki
- Project Period (FY)
  2012 – 2013
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Intelligent informatics
- Research Institution
  Kyoto University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012

All Journal Article Presentation Book

[Book] サポートベクトルマシン2015
- Author(s)
  竹内一郎・烏山昌幸
- Total Pages
  192
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-26280083
[Book] 統計的学習の基礎 -データマイニング・推論・予測-2014
- Author(s)
  杉山将, 井手剛, 神嶌敏弘, 栗田多喜夫, 前田英作監訳, 井尻善久, 井手剛, 岩田具治, 金森敬文, 兼村厚範, 烏山昌幸, 河原吉伸, 木村昭悟, 小西嘉典, 酒井智弥, 鈴木大慈, 竹内一郎, 玉木徹, 出口大輔, 冨岡亮太, 波部斉, 前田新一, 持橋大地, 山田誠
- Total Pages
  888
- Publisher
  共立出版
- Data Source
  KAKENHI-PROJECT-26730120
[Journal Article] Optimization of Force-field Potential parameters using conditional variational autoencoder2023
- Author(s)
  Koki Matsunoshita, Yudai Yamaguchi, Masato Hamaie, Motoki Horibe, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Masayuki Karasuyama, Ryo Kobayashi
- Journal Title
  
  Sci. Tech. Adv. Mater.:Methods
  
  Volume: 3 Issue: 1 Pages: 2253713-2253713
- DOI
  10.1080/27660400.2023.2253713
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-19H05815, KAKENHI-PROJECT-20H02436, KAKENHI-PROJECT-23K21696
[Journal Article] Drawing a materials map with an autoencoder for lithium ionic conductors2023
- Author(s)
  Y. Yamaguchi, T. Atsumi, K. Kanamori, N. Tanibata, H. Takeda, M. Nakayama, M. Karasuyama, I. Takeuchi,
- Journal Title
  
  Sci. Rep.
  
  Volume: 13 Issue: 1 Pages: 16799-16799
- DOI
  10.1038/s41598-023-43921-1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-19H05815, KAKENHI-PROJECT-20H02436, KAKENHI-PROJECT-21H01625, KAKENHI-PROJECT-23K21696, KAKENHI-PROJECT-23K23447
[Journal Article] Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries2022
- Author(s)
  Fukuda Hiroko、Kusakawa Shunya、Nakano Koki、Tanibata Naoto、Takeda Hayami、Nakayama Masanobu、Karasuyama Masayuki、Takeuchi Ichiro、Natori Takaaki、Ono Yasuharu
- Journal Title
  
  RSC Advances
  
  Volume: 12 Issue: 47 Pages: 30696-30703
- DOI
  10.1039/d2ra04539g
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H02436, KAKENHI-PLANNED-19H05815, KAKENHI-PROJECT-23K21696
[Journal Article] Na superionic conductor-type LiZr2(PO4)3 as a promising solid electrolyte for use in all-solid-state Li metal batteries2022
- Author(s)
 Nakayama Masanobu、Nakano Koki、Harada Maho、Tanibata Naoto、Takeda Hayami、Noda Yusuke、Kobayashi Ryo、Karasuyama Masayuki、Takeuchi Ichiro、Kotobuki Masashi
- Journal Title
 
 Chemical Communications
 
 Volume: 58 Issue: 67 Pages: 9328-9340
- DOI
 10.1039/d2cc01526a
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
 KAKENHI-PROJECT-21K04650, KAKENHI-PROJECT-20H02436, KAKENHI-PLANNED-19H05815, KAKENHI-PROJECT-23K21696
[Journal Article] A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy2022
- Author(s)
  Takeno Shion、Fukuoka Hitoshi、Tsukada Yuhki、Koyama Toshiyuki、Shiga Motoki、Takeuchi Ichiro、Karasuyama Masayuki
- Journal Title
  
  Neural Computation
  
  Volume: 34 Issue: 10 Pages: 2145-2203
- DOI
  10.1162/neco_a_01530
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21J14673, KAKENHI-ORGANIZER-18H05450, KAKENHI-PROJECT-23K21696
[Journal Article] Bayesian Optimization for Cascade-Type Multistage Processes2022
- Author(s)
  Kusakawa Shunya、Takeno Shion、Inatsu Yu、Kutsukake Kentaro、Iwazaki Shogo、Nakano Takashi、Ujihara Toru、Karasuyama Masayuki、Takeuchi Ichiro
- Journal Title
  
  Neural Computation
  
  Volume: 34 Issue: 12 Pages: 2408-2431
- DOI
  10.1162/neco_a_01550
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21J14673, KAKENHI-PROJECT-23K21696
[Journal Article] Chemical Composition Data‐Driven Machine‐Learning Prediction for Phase Stability and Materials Properties of Inorganic Crystalline Solids2022
- Author(s)
  Atsumi Taruto、Sato Kosei、Yamaguchi Yudai、Hamaie Masato、Yasuda Risa、Tanibata Naoto、Takeda Hayami、Nakayama Masanobu、Karasuyama Masayuki、Takeuchi Ichiro
- Journal Title
  
  physica status solidi (b)
  
  Volume: in press Issue: 9 Pages: 2100525-2100525
- DOI
  10.1002/pssb.202100525
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H02436, KAKENHI-PROJECT-23K21696
[Journal Article] Machine-learning-based prediction of first-principles XANES spectra for amorphous materials2022
- Author(s)
  H. Hirai, T. Iizawa, T. Tamura, M. Karasuyama, R. Kobayashi, and T. Hirose
- Journal Title
  
  Physical Review Materials
  
  Volume: 6 Issue: 11 Pages: 115601-115601
- DOI
  10.1103/physrevmaterials.6.115601
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K21696, KAKENHI-PROJECT-23K23076
[Journal Article] Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design2021
- Author(s)
  Inoue Keiichi、Karasuyama Masayuki、Nakamura Ryoko、Konno Masae、Yamada Daichi、Mannen Kentaro、Nagata Takashi、Inatsu Yu、Yawo Hiromu、Yura Kei、Beja Oded、Kandori Hideki、Takeuchi Ichiro
- Journal Title
  
  Communications Biology
  
  Volume: 4 Issue: 1 Pages: 362-362
- DOI
  10.1038/s42003-021-01878-9
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K21251, KAKENHI-PROJECT-20K21382, KAKENHI-PROJECT-20K21383, KAKENHI-PLANNED-16H06538, KAKENHI-PUBLICLY-19H04959, KAKENHI-PLANNED-20H05758, KAKENHI-PROJECT-18H03986, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-17H03007, KAKENHI-PROJECT-17H04694
[Journal Article] Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation2020
- Author(s)
  Inatsu Yu、Karasuyama Masayuki、Inoue Keiichi、Kandori Hideki、Takeuchi Ichiro
- Journal Title
  
  Neural Computation
  
  Volume: 32 Issue: 10 Pages: 1998-2031
- DOI
  10.1162/neco_a_01310
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K21251, KAKENHI-PROJECT-20K21383, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PUBLICLY-19H04959, KAKENHI-PLANNED-20H05758, KAKENHI-PROJECT-18H03986, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-17H03007
[Journal Article] Efficient Experimental Search for Discovering a Fast Li-Ion Conductor from a Perovskite-Type LixLa(1-x)/3NbO3 (LLNO) Solid-State Electrolyte Using Bayesian Optimization2020
- Author(s)
  Yang Zijian、Suzuki Shinya、Tanibata Naoto、Takeda Hayami、Nakayama Masanobu、Karasuyama Masayuki、Takeuchi Ichiro
- Journal Title
  
  The Journal of Physical Chemistry C
  
  Volume: 125 Issue: 1 Pages: 152-160
- DOI
  10.1021/acs.jpcc.0c08887
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-19H05815, KAKENHI-PROJECT-18H01707, KAKENHI-PROJECT-20H02436, KAKENHI-PROJECT-23K21696
[Journal Article] Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions2020
- Author(s)
  Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
- Journal Title
  
  Neural Computation
  
  Volume: 32 Issue: 12 Pages: 2486-2531
- DOI
  10.1162/neco_a_01332
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K21383, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PLANNED-20H05758, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-17H03007
[Journal Article] Stat-DSM: Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction2020
- Author(s)
  V. N. L. Duy, T. Sakuma, T. Ishiyama, H. Toda, K. Arai, M. Karasuyama, Y. Okubo, M. Sunaga, H. Hanada, Y. Tabei, I. Takeuchi
- Journal Title
  
  IEEE Transactions on Knowledge and Data Engineering
  
  Volume: - Issue: 3 Pages: 1477-1488
- DOI
  10.1109/tkde.2020.2994344
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H04694
[Journal Article] Safe Triplet Screening for Distance Metric Learning2019
- Author(s)
  Yoshida Tomoki、Takeuchi Ichiro、Karasuyama Masayuki
- Journal Title
  
  Neural Computation
  
  Volume: 31 Issue: 12 Pages: 2432-2491
- DOI
  10.1162/neco_a_01240
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PROJECT-17H04694
[Journal Article] Efficient Learning Algorithm for Sparse SubSequence Pattern-based Classication and Applications to Comparative Animal Trajectory Data Analysis2019
- Author(s)
  Takuto Sakuma, Kazuya Nishi, Kaoru Kishimoto, Kazuya Nakagawa, Masayuki Karasuyama, Yuta Umezu, Shinsuke Kajioka, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Matasaburo Fukutomi, Hisashi Shidara, Hiroto Ogawa, Ichiro Takeuchi
- Journal Title
  
  Advanced Robotics
  
  Volume: 33 Issue: 3-4 Pages: 134-152
- DOI
  10.1080/01691864.2019.1571438
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18010, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PLANNED-16H06544, KAKENHI-PROJECT-17H04694, KAKENHI-PROJECT-17J04782, KAKENHI-PLANNED-16H06545
[Journal Article] Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction2019
- Author(s)
  Le Duy Vo Nguyen、Sakuma Takuto、Ishiyama Taiju、Toda Hiroki、Arai Kazuya、Karasuyama Masayuki、Okubo Yuta、Sunaga Masayuki、Tabei Yasuo、Takeuchi Ichiro
- Journal Title
  
  Proceedings of International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019)
  
  Volume: - Pages: 548-551
- DOI
  10.1145/3347146.3359379
- Peer Reviewed
- Data Source
  KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538
[Journal Article] Exploring a potential energy surface by machine learning for characterizing atomic transport2018
- Author(s)
  Kanamori Kenta、Toyoura Kazuaki、Honda Junya、Hattori Kazuki、Seko Atsuto、Karasuyama Masayuki、Shitara Kazuki、Shiga Motoki、Kuwabara Akihide、Takeuchi Ichiro
- Journal Title
  
  Physical Review B
  
  Volume: 97 Issue: 12 Pages: 125124-125124
- DOI
  10.1103/physrevb.97.125124
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-16H00736, KAKENHI-PLANNED-25106008, KAKENHI-PROJECT-17H00758, KAKENHI-PROJECT-16H02866, KAKENHI-PROJECT-17H04694, KAKENHI-PROJECT-17H04948
[Journal Article] Adaptive Edge Weighting for Graph-Based Learning Algorithms2017
- Author(s)
  M. Karasuyama, and H. Mamitsuka,
- Journal Title
  
  Machine Learning
  
  Volume: 106 Issue: 2 Pages: 307-335
- DOI
  10.1007/s10994-016-5607-3
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26730120, KAKENHI-PROJECT-16H02868
[Journal Article] Homotopy continuation approaches for robust SV classification and regression2016
- Author(s)
  S. Suzumura, K. Ogawa, M. Karasuyama, M. Sugiyama, I. Takeuchi
- Journal Title
  
  Machine Learning
  
  Volume: - Issue: 7 Pages: 1-30
- DOI
  10.1007/s10994-017-5627-7
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-ORGANIZER-16H06535, KAKENHI-PROJECT-26280083, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-PLANNED-16H06538
[Journal Article] Simultaneous safe screening of features and samples in doubly sparse modeling2016
- Author(s)
  A. Shibagaki, M. Karasuyama, K. Hatano, I. Takeuchi
- Journal Title
  
  Proceedings of the 33rd International Conference on Machine Learning
  
  Volume: 48 Pages: 1577-1586
- NAID
  40020907513
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26280083
[Journal Article] Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining2016
- Author(s)
  Nakagawa K., Suzumura S., Karasuyama M., Tsuda, K.,Takeuchi I.
- Journal Title
  
  Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  
  Volume: NA Pages: 1785-1794
- DOI
  10.1145/2939672.2939844
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26280083, KAKENHI-PLANNED-16H06538
[Journal Article] Simultaneous safe screening of features and samples in doubly sparse modeling2016
- Author(s)
  A. Shibagaki M. Karasuyama K. Hatano I. Takeuchi
- Journal Title
  
  Proceedings of the 33rd International Conference on Machine Learning
  
  Volume: 48 Pages: 1577-1586
- NAID
  40020907513
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-16H06538
[Journal Article] Proceedmgs of Regularization Path of Cross-Validation Error Lower Bounds2015
- Author(s)
  Shibagaki A., Suzuki Y., Karasuyama M., Takeuchi I.
- Journal Title
  
  The 29th Annual Conference on Neural Information Processing Systems (NIPS2015)
  
  Volume: 0 Pages: 0-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26280083
[Journal Article] Multiple Graph Label Propagation by Sparse Integration2013
- Author(s)
  Karasuyama, M. and Mamitsuka, H.
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume: 24 Issue: 12 Pages: 1999-2012
- DOI
  10.1109/tnnls.2013.2271327
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24300054, KAKENHI-PROJECT-24800036
[Presentation] Multi-objective Bayesian Optimization with Active Preference Learning2024
- Author(s)
  R. Ozaki, K. Ishikawa, Y. Kanzaki, S. Takeno, I. Takeuchi and M. Karasuyama
- Organizer
  The AAAI Conference on Artificial Intelligence (AAAI 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds2024
- Author(s)
  S. Takeno, Y. Inatsu, M. Karasuyama and I. Takeuchi
- Organizer
  The 40th International Conference on Machine Learning (ICML 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] ガウス過程回帰に基づく結晶構造X線吸収スペクトル予測と価数比推定2023
- Author(s)
  岩下拓未, 平井悠喜, 小林亮, 田村友幸, 烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会(IBISML)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 共有潜在空間上でのベイズ最適化による機械学習モデルとハイパーパラメータの同時選択2023
- Author(s)
  石川和樹, 尾崎令拓, 神崎陽平, 竹内一郎, 烏山昌幸
- Organizer
  第26回情報論的学習理論ワークショップ (IBIS2023)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds2023
- Author(s)
  S. Takeno, Y. Inatsu and M. Karasuyama
- Organizer
  Proceedings of The 40th International Conference on Machine Learning (ICML 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes2023
- Author(s)
  S. Takeno, M. Nomura and M. Karasuyama
- Organizer
  Proceedings of The 40th International Conference on Machine Learning (ICML 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 選好考慮型多目的ベイズ最適化によるユーザの好みを反映したハイパーパラメータ最適化2023
- Author(s)
  尾崎令拓, 石川和樹, 神崎陽平, 竹野思温, 竹内一郎, 烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会(IBISML)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 最適値の情報量に基づいたマルチフィデリティベイズ最適化2023
- Author(s)
  竹野思温, 烏山昌幸
- Organizer
  第37回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 乱択GP-UCBアルゴリズムのリグレット解析2023
- Author(s)
  竹野思温, 烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会(IBISML)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 変分自己符号化器を用いた探索空間の削減による高次元ベイズ最適化2023
- Author(s)
  神崎陽平, 石川和樹, 尾崎令拓, 烏山昌幸, 稲津佑, 竹内一郎
- Organizer
  第37回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Preferential Bayesian Optimization with Hallucination Believer2022
- Author(s)
  S. Takeno, M. Nomura, and M. Karasuyama
- Organizer
  NeurIPS Workshop on Gaussian Processes
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Machine-Learning Based Prediction of First-Principles XANES Spectra for Amorphous Materials2022
- Author(s)
  H. Hirai, T. Tamura, M., Karasuyama and R. Kobayashi
- Organizer
  2022 MRS Fall meeting & Exhibit
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] ユーザの選好推定に基づく多目的ベイズ最適化によるハイパーパラメータ最適化2022
- Author(s)
  尾崎令拓，高木優介，烏山昌幸，竹内一郎
- Organizer
  第36回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] アモルファス材料における機械学習に基づいた第一原理XANESの予測2022
- Author(s)
  平井悠喜，田村友幸，烏山昌幸，小林亮
- Organizer
  日本物理学会2022年秋季大会
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Bayesian Optimization for Distributionally Robust Chance-constrained Problem2022
- Author(s)
  Y. Inatsu, S. Takeno, M. Karasuyama and I. Takeuchi
- Organizer
  The 39th International Conference on Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] アモルファス材料における機械学習に基づいた第一原理XANESの予測2022
- Author(s)
  平井悠喜，田村友幸，烏山昌幸，小林亮
- Organizer
  日本セラミックス協会2022年秋季シンポジウム
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound2022
- Author(s)
  S. Takeno, T. Tamura, K. Shitara and M. Karasuyama
- Organizer
  The 39th International Conference on Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 予測パターンマイニングにおける非単調性特徴量のためのSafe Pattern Pruning2021
- Author(s)
  羽川晟史, 烏山昌幸
- Organizer
  ニューロコンピューティング研究会
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] 情報量の下界に基づく逐次的及び並列的な制約付きベイズ最適化2021
- Author(s)
  竹野思温, 田村友幸, 設楽一希, 烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会(IBISML)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 情報量に基づく複数タスクの同時ベイズ最適化2021
- Author(s)
  山田倫太郎, 竹野思温, 烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会(IBISML)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] カスケードタイプの多ステージプロセスに対するベイズ最適化2021
- Author(s)
  草川隼也, 竹野思温, 稲津佑, 沓掛健太郎, 岩崎省吾, 中野高志, 烏山昌幸,宇治原徹, 竹内一郎
- Organizer
  第24回情報論的学習理論ワークショップ (IBIS2021)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 属性区間付きグラフを用いた予測グラフマイニング2021
- Author(s)
  朝日陽向, 烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] 分布的ロバストな機会制約付き最適化問題に対する能動学習2021
- Author(s)
  稲津佑, 竹野思温, 烏山昌幸, 竹内一郎
- Organizer
  情報論的学習理論と機械学習研究会(IBISML)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] 情報量の下界に基づく制約付きベイズ最適化2021
- Author(s)
  竹野思温, 田村友幸, 設楽一希,烏山昌幸
- Organizer
  第24回情報論的学習理論ワークショップ (IBIS2021)
- Data Source
  KAKENHI-PROJECT-23K21696
[Presentation] Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining2019
- Author(s)
  T. Yoshida, I. Takeuchi, and M. Karasuyama
- Organizer
  The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction2019
- Author(s)
  D. V. N. Le, T. Sakuma, T. Ishiyama, H. Toda, K. Arai, M. Karasuyama, Y. Okubo, M. Sunaga, Y. Tabei, I. Takeuchi
- Organizer
  the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] Safe Triplet Screening for Distance Metric Learning2018
- Author(s)
  T. Yoshida, I. Takeuchi, and M. Karasuyama
- Organizer
  The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] 部分グラフに基づくグラフ間の距離学習2018
- Author(s)
  吉田知貴，竹内一郎，烏山昌幸
- Organizer
  第21回情報論的学習理論ワークショップ (IBIS2018)
- Data Source
  KAKENHI-PLANNED-16H06538
[Presentation] 部分グラフに基づくグラフ間の距離学習2018
- Author(s)
  吉田知貴, 竹内一郎, 烏山昌幸
- Organizer
  , 情報論的学習理論と機械学習研究会
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] Factor Analysis on a Graph2018
- Author(s)
  M. Karasuyama and H. Mamitsuka
- Organizer
  International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] 系列データからのクラス特異的代表パターン選出: 分類モデルとMorse Complexによるアプローチ2017
- Author(s)
  烏山昌幸, 竹内一郎
- Organizer
  情報論的学習理論と機械学習研究会
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] マージン最大化距離学習におけるセーフスクリーニング2017
- Author(s)
  吉田知貴, 竹内一郎, 烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会
- Data Source
  KAKENHI-PROJECT-17H04694
[Presentation] 機械学習による粒界データ解析2016
- Author(s)
  烏山昌幸
- Organizer
  応用数理学会2016年会
- Place of Presentation
  九州
- Year and Date
  2016-09-12
- Invited
- Data Source
  KAKENHI-PROJECT-26730120
[Presentation] Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining2016
- Author(s)
  Nakagawa K., Suzumura S., Karasuyama M., Tsuda, K.,Takeuchi I.
- Organizer
  The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Place of Presentation
  San Francisco, USA
- Year and Date
  2016-08-17
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26280083
[Presentation] Simultaneous safe screening of features and samples in doubly sparse modeling2016
- Author(s)
  A. Shibagaki，M. Karasuyama，K. Hatano，I. Takeuchi
- Organizer
  The 33rd International Conference on Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-16H06538
[Presentation] 多様体学習に基づく特徴クラスタリング2016
- Author(s)
  烏山昌幸
- Organizer
  応用数理学会2016年会
- Place of Presentation
  九州
- Year and Date
  2016-09-12
- Data Source
  KAKENHI-PROJECT-26730120
[Presentation] パターンマイニング問題におけるセーフパターンプルーニングを用いたスパースモデルの学習2016
- Author(s)
  中川和也, 鈴村真矢, 烏山昌幸, 津田宏治, 竹内一郎
- Organizer
  電子情報通信学会第26回情報論的学習理論研究会
- Place of Presentation
  富山
- Year and Date
  2016-09-05
- Data Source
  KAKENHI-PROJECT-26280083
[Presentation] Simultaneous safe screening of features and samples in doubly sparse modeling2016
- Author(s)
  A. Shibagaki, M. Karasuyama, K. Hatano, I. Takeuchi
- Organizer
  The 33rd International Conference on Machine Learning
- Place of Presentation
  New York, USA
- Year and Date
  2016-06-22
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26280083
[Presentation] Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining2016
- Author(s)
  K. Nakagawa, S. Suzumura, M. Karasuyama, K. Tsuda, and I. Takeuchi
- Organizer
  The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Place of Presentation
  USA
- Year and Date
  2016-08-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26730120
[Presentation] スパースモデルのための特徴と標本の同時セーフスクリーニング2016
- Author(s)
  柴垣篤志，烏山昌幸，畑埜晃平，竹内一郎
- Organizer
  電子情報通信学会第25回情報論的学習理論研究会
- Data Source
  KAKENHI-PLANNED-16H06538
[Presentation] パターンマイニング問題におけるセーフパターンプルーニングを用いたスパースモデルの学習2016
- Author(s)
  中川和也，鈴村真矢，烏山昌幸，津田宏治，竹内一郎
- Organizer
  電子情報通信学会第26回情報論的学習理論研究会
- Data Source
  KAKENHI-PLANNED-16H06538
[Presentation] スパースモデルのための特徴と標本の同時セーフスクリーニング2016
- Author(s)
  柴垣篤志, 烏山昌幸, 畑埜晃平, 竹内一郎
- Organizer
  電子情報通信学会第25回情報論的学習理論研究会
- Place of Presentation
  沖縄
- Year and Date
  2016-07-06
- Data Source
  KAKENHI-PROJECT-26280083
[Presentation] Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining2016
- Author(s)
  K. Nakagawa，S. Suzumura，M. Karasuyama，K. Tsuda，I. Takeuchi
- Organizer
  The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-16H06538
[Presentation] Regularization Path of Cross-Validation Error Lower Bounds2015
- Author(s)
  Shibagaki A., Suzuki Y., Karasuyama M., Takeuchi I.
- Organizer
  The 29th Annual Conference on Neural Information Processing Systems (NIPS2015)
- Place of Presentation
  モントリオールカナダ国際会議場
- Year and Date
  2015-12-08
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26280083
[Presentation] セーフスクリーニングを用いた組み合わせ効果を持つスパースモデルの効率的学習2015
- Author(s)
  中川和也・鈴村真矢・烏山昌幸・竹内一郎
- Organizer
  電子情報通信学会IBISML研究会
- Place of Presentation
  沖縄科学技術大学院大学
- Year and Date
  2015-06-23
- Data Source
  KAKENHI-PROJECT-26280083
[Presentation] 複数多様体の同時推定に基づく特徴クラスタリング2015
- Author(s)
  烏山昌幸
- Organizer
  情報論的学習理論と機械学習
- Place of Presentation
  筑波
- Year and Date
  2015-11-27
- Data Source
  KAKENHI-PROJECT-26730120
[Presentation] 機械学習によるグラフデータ解析2015
- Author(s)
  烏山昌幸
- Organizer
  日本生体医工学会
- Place of Presentation
  名古屋
- Year and Date
  2015-05-09
- Invited
- Data Source
  KAKENHI-PROJECT-26730120
[Presentation] Manifold-based Similarity Adaptation for Label Propagation2014
- Author(s)
  烏山昌幸
- Organizer
  第17回画像の認識・理解シンポジウム
- Place of Presentation
  岡山
- Year and Date
  2014-07-29
- Invited
- Data Source
  KAKENHI-PROJECT-26730120
[Presentation] Learning Kernel-based Feature Representation for Gene Essentiality Prediction2014
- Author(s)
  烏山昌幸
- Organizer
  RECOMB/ISCB Conference on Regulatory and Genomics with DREAM Challenges and Cytoscape Wrokshops 2014
- Place of Presentation
  アメリカ
- Year and Date
  2014-11-11
- Invited
- Data Source
  KAKENHI-PROJECT-26730120
[Presentation] 局所線形近似に基づくラベル伝播のための類似度適合2013
- Author(s)
  烏山昌幸, 馬見塚拓
- Organizer
  情報論的学習理論と機械学習研究会 (IBISML)
- Data Source
  KAKENHI-PROJECT-24800036
[Presentation] Manifold-based Similarity Adaptation for Label Propagation2013
- Author(s)
  M. Karasuyama and H. Mamitsuka
- Organizer
  Neural Information Processing Systems
- Place of Presentation
  Lake Taho, Nevada, US
- Data Source
  KAKENHI-PROJECT-24800036
[Presentation] 局所線形近似に基づくラベル伝播のための類似度適合2013
- Author(s)
  烏山昌幸
- Organizer
  情報論的学習理論と機械学習研究会
- Place of Presentation
  名古屋工業大学
- Data Source
  KAKENHI-PROJECT-24800036
[Presentation] Manifold-based Similarity Adaptation for Label Propagation2013
- Author(s)
  M Karasuyama, and H Mamitsuka
- Organizer
  Advances in Neural Information Processing Systems (NIPS)
- Data Source
  KAKENHI-PROJECT-24800036
[Presentation] ラベル伝播アルゴリズムにおける複数グラフのスパース結合法2012
- Author(s)
  烏山昌幸, 馬見塚拓
- Organizer
  情報論的学習理論と機械学習研究会 (IBISML)
- Data Source
  KAKENHI-PROJECT-24800036
[Presentation] ラベル伝播アルゴリズムにおける複数グラフのスパース結合法2012
- Author(s)
  烏山昌幸
- Organizer
  第15回情報論的学習理論ワークショップ
- Place of Presentation
  筑波大学東京キャンパス文京校舎
- Data Source
  KAKENHI-PROJECT-24800036

1. takeuchi ichiro (40335146)

# of Collaborated Projects: 2 results

# of Collaborated Products: 20 results
2. 田村友幸 (90415711)

# of Collaborated Projects: 2 results

# of Collaborated Products: 8 results
3. 畑埜晃平 (60404026)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
4. 打矢隆弘 (10375157)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 梶岡慎輔 (40609517)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 宇治原徹 (60312641)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 原田俊太 (30612460)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 河村貴宏 (80581511)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 岡野泰則 (90204007)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 沓掛健太朗 (00463795)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 本田光裕 (50749504)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. NAKAYAMA Masanobu

# of Collaborated Projects: 0 results

# of Collaborated Products: 5 results
13. SHIGA Motoki

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
14. KOBAYASHI Ryo

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
15. INOUE Keiichi

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
16. 小川宏人

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
17. 馬見塚拓

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
18. 神取秀樹

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
19. 梅津佑太

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Karasuyama Masayuki 烏山 昌幸

KARASUYAMA Masayuki 烏山 昌幸

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深層グラフマイニングによる精度と解釈性に優れたグラフデータ解析法の構築Principal Investigator

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チタニアガラス薄膜中の欠陥制御による機能性表面の創成と高光活性材料の開発

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Complex crystal growth modeling and process design in latent space

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多様な探索問題のための情報論的ベイズ最適化の構築と材料科学データでの実践Principal Investigator

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Knowledge extraction from large-scale sequence data by combining pattern mining and sparse modelingPrincipal Investigator

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Development of statistical data analysis framework for navigation and human mobility data analysis

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Theory and application of optimality-guaranteed screening methods for big-data analysis

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A machine learning based approach to analysing latent substructure of graph dataPrincipal Investigator

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A study on optimizing graphs for machine learning algorithmsPrincipal Investigator

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[Book] サポートベクトルマシン2015

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[Book] 統計的学習の基礎 -データマイニング・推論・予測-2014

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[Journal Article] Optimization of Force-field Potential parameters using conditional variational autoencoder2023

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[Journal Article] Drawing a materials map with an autoencoder for lithium ionic conductors2023

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[Journal Article] Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries2022

Karasuyama Masayuki 烏山昌幸

KARASUYAMA Masayuki 烏山昌幸