機械学習システム論講座 | 大阪大学大学院情報科学研究科情報システム工学専攻

本研究室が発足した2022年10月以降の主な出版物の年別リストです (理研AIPでの成果も含む)。
それ以前の出版物については、各個人のページ [Members] をご覧ください。
(理研AIPのメンバーのみでの成果についてはリストの冒頭に*を付与しています)

2024〜

(査読あり)学術論文

J. Bai and Y. Kawahara, ``MANet: Mixed Attention Network for Visual Explanation,'' New Generation Computing (accepted)
K. Fujii, K. Takeuchi, A. Kuribayashi, N. Takeishi, Y. Kawahara, and K. Takeda, ``Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios," IEEE Transactions on Neural Networks and Learning Systems (accepted)
H. Endo, S. Ikeda, K. Harada, H. Yamagata, T. Matsubara, K. Matsuo, Y. Kawahara, and O. Yamashita, "Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data," Frontiers in Psychiatry, Vol.15, Article Number 1288808, 2024.
K. Taga, Y. Kato, Y. Yamazaki, Y. Kawahara, and H. Nakao, "Dynamic mode decomposition for Koopman spectral analysis of elementary cellular automata," Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol.34, No.1, Article Number 013125, 2024 (the arXiv version is found [Here]).
K. Fujii, K. Tsutsui, A. Scott, H. Nakahara, N. Takeishi, and Y. Kawahara, "Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations," in Proc. of the 16th Int'l Conf. on Agents and Artificial Intelligence (ICAART'24) (accepted) (the arXiv version is found [Here]).
K. Fujii, N. Takeishi, Y. Kawahara, and K. Takeda, "Decentralized Policy Learning with Partial Observation and Mechanical Constraints for Multi-person Modeling Learning Systems," Neural Networks, Vol.171, pp.40-52, 2024.

招待講演

H. Arai, H.V. Nguyen, T. Le Toan, K. Oyoshi, Y. Kawahara, K. Ichikawa, W. Takeuchi, M. Zribi, K.T. Nguyen, N.T. Cuong, T.N. Trang, T.T.C. Nhung, H.V. Nguyen, T. Fumoto, K. Inubushi, L.D. Nguyen, K. Shimanoe, S. Sobue, and B. Bouman., "The state of the art of digital-twin technology for sustainable rice production and greenhouse gas emissions," NASA SARI LCLUC International Meeting, Hanoi, 2024年2月.
*ガラムカリ和, "モード間相互作用によるテンソル分解," 第4回TREFOIL研究会, 2024年2月.

2023

(査読あり)学術論文

K. Ghalamkari, M. Sugiyama, and Y. Kawahara, "Many-body Approximation for Non-negative Tensors," Advances in Neural Information Processing Systems 36 (NeurIPS'23) (the arXiv version is found [Here]).
N. Takeishi and Y. Kawahara, "A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores," Transactions on Machine Learning Research, ISSN: 2835-8856, 2023.
D. Bodenham and Y. Kawahara, "euMMD: Efficiently Computing the MMD Two-Sample Test Statistic for Univariate Data," Statistics and Computing, Vol.33, Article Number 110, 2023.
T. Konishi and Y. Kawahara, "Stable Invariant Models with Koopman Spectra," Neural Networks, Vol.165, pp.393-405, 2023 (the arXiv version is found [Here]).
T. Iwata and Y. Kawahara, "Neural dynamic mode decomposition for end-to-end modeling of nonlinear dynamics," Journal of Computational Dynamics, Vol.10, No.2, pp.268-280, 2023.

招待講演

H. Arai, "Standarizing MRV approaches in rice sector," the global USDA - Fertilize Right project meeting, 2023年12月.
*ガラムカリ和, "非負テンソルの多体近似," 第26回情報論的学習理論ワークショップ (IBIS2023), 2023年10月.
河原吉伸, "Koopman作用素の学習とデータ駆動によるダイナミクス解析への応用," データ駆動科学の最新展開：Koopman作用素の理論から宇宙工学、流体制御まで, 2023年10月.
H. Arai, T.L. Toan, K. Oyoshi, M. Zribi, Y. Kawahara, W. Takeuchi, T. Fumoto, K. Inubushi, L.D. Nguyen, S. Sobue, B.O. Sander, "Decision Support System of sustainable rice cultivation in the Mekong delta," The 4th Boeing-CSIRO Advanced Earth Observation Forum in Vietnam: Applications for the Mekong Delta, 2023年10月.
H. Arai, “Digital-twin technologies for transparent MRV systems for Asian rice production system,” IRRI WS: Understanding GHG Emissions in Rice Systems, 2023年10月.
*ガラムカリ和, "統計多様体上での安定なテンソル・行列分解," 人工知能学会第125回人工知能基本問題研究会(SIG-FPAI), 2023年8月
*K. Ghalamkari, "Tensor Factorization Using Interaction Modeling," Seventh International Workshop on Symbolic-Neural Learning (SNL2023), 2023年6月.
河原吉伸, "クープマン作用素を介した動力学のデータ解析と機械学習," 計測自動制御学会制御部門低次元モデルに基づく先進的流体制御研究調査会第二回研究会, 2023年4月.
B.O. Sander, A. Laborte, H. Arai, "Overview of current Measurement, Reporting and Verification (MRV) tools and vision for next advanced version integrating GIS and remote sensing," Regional workshop on High-quality and climate-resilient rice, 2023年3月.
河原吉伸, "データ駆動による複雑ダイナミクス解析の新展開," データ駆動科学と情報計測の新展開, 2023年3月.
H. Arai, T.L. Toan, K. Oyoshi, M. Zribi, Y. Kawahara, W. Takeuchi, T. Fumoto, K. Inubushi, L.D. Nguyen, S. Sobue, B.O. Sander, "Decision Support System of GHG emissions from rice cultivation systems in the Mekong delta," Int'l Meeting on Air Pollution in Asia – Inventories, Monitoring and Mitigation, 2023年2月.

公開された知財関連

(発明者) 岩田具治, 河原吉伸, "制御方法、制御装置、及びプログラム," 特開2023-003532.

その他 (ワークショップ, 国内会議, 研究会など)

石川勳, 橋本悠香, 池田正弘, 河原吉伸, "JetDMD: Rigged再生核Hilbert空間におけるデータ駆動型Koopman固有展開," 第26回情報論的学習理論ワークショップ (IBIS'23), 1-006, 2023年10月.
坂田逸志, 河原吉伸, "動的モード分解を利用した時系列データの連続スペクトル構造の解析," 第26回情報論的学習理論ワークショップ (IBIS'23), 2-004, 2023年10月.
田中亮悟, 河原吉伸, "時系列データのための確率実現を介した拡散生成モデル," 第26回情報論的学習理論ワークショップ (IBIS'23), 2-044, 2023年10月.
白晶晶, 河原吉伸, "MANet: Mixed Attention Network for Visual Explanation," 第26回情報論的学習理論ワークショップ (IBIS'23), 1-006, 2023年10月.
K. Naichang, 河原吉伸, "Learning and filtering stochastic nonlinear dynamics with embedded latent transfer operators," 第26回情報論的学習理論ワークショップ (IBIS'23), 2-081, 2023年10月.
R. Fukuma, K. Majima, Y. Kawahara, O. Yamashita, Y. Shiraishi, H. Kishima, and T. Yanagisawa, "Efficient nonparametric two-sample testing with the maximum mean discrepancy," Neuroscience 2023, 2023年11月.
*K. Ghalamkari, "Rank-free Tensor Decomposition Using Energy-based Models,” ZIB-IMI-ISM-NUS-RIKEN-MODAL Workshop (Workshop on Future Algorithms and Applications), 2023年9月.
Hironori Arai, Thuy Le Toan, Kei Oyoshi, Yoshinobu Kawahara, Kaoru Ichikawa, Wataru Takeuchi, Mehrez Zribi, Kim Thu Nguyen, Nguyen The Cuong, Thach Ngoc Tran, Tran Thi Cam Nhung, Hung Van Nguyen, Tamon Fumoto, Kazuyuki Inubushi, Lam Dao Nguyen, Shinichi Sobue, Bjoern Ole Sander, "The state of the art of digital-twin technology for sustainable rice production in Asian delta," The 6th International Rice Congress 2023, 2023年10月.
H.Arai and B.O. Sander, "Remote sensing for MRV and certified emission reduction in rice," Multi-stakeholder Dialogue on Carbon markets in Agriculture, Aug. 2023.
D. Bodenham and Y. Kawahara, "Fast and accurate decoding of electrocorticograms during hand movements based on dynamic mode decomposition," The 25th Int'l Conf. on Computational Statistics (COMPSTATS 23), 2023年8月
*K. Ghalamkari and M. Sugiyama, "Many-body Approximation for Non-negative Tensors," Duality Principles for Modern Machine Learning (ICML'23 Workshop), 2023年7月.
*ガラムカリ和, 杉山麿人, "非負テンソルの多体モデリング," 第37回人工知能学会全国大会(JSAI'23), 1B5GS204, 2023年6月.
J. Bai and Y. Kawahara, "MANet: Mixed Attention Network for Visual Explanation," 第37回人工知能学会全国大会(JSAI'23), 2U4-IS-2c-02, 2023年6月.

2022

(10月以降)

(査読あり) 学術論文

N. Takeishi, K. Takeuchi, K. Fujii, and Y. Kawahara, "Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections," SIAM Journal on Applied Dynamical Systems, Vol.21, No.2, pp.1030–1058, 2022.
H. Arai, M. Zribi, K. Oyoshi, K. Dassas, M. Huc, S. Sobue and T. Le Toan, "Quality Control of CyGNSS Reflectivity for Robust Spatiotemporal Detection of Tropical Wetlands," Remote Sensing, Vol.14, No.22, Article No.:5903, 2022.
K. Fujii, K. Takeuchi, A. Kuribayashi, N. Takeishi, Y. Kawahara, and K. Takeda, "Estimating counterfactual treatment outcomes over time in multi-vehicle simulation," in Proc. Of the 30th ACM SIGPATIAL Int'l Conf. on Advances in Geographic Information Systems (SIGSPATIAL'22) (short paper), Article No.: 7, pp.1-4, 2022 (本論文は、Best Poster Awardを受賞しました).

その他 (査読なし国際会議，国内会議, 研究会など)

鈴木瑛介, 横山達也, 坂本隆一, 河原吉伸, 山田弘司, 五十嵐康彦, "ヘリカル式核融合炉におけるスパースな動的モード分解を用いた放射崩壊予測," 第25回情報論的学習理論ワークショップ (IBIS'22), 2-015, 2022年11月.