ジャーナル論文 / Journal
  1. Fujii, K., Takeuchi, K., Kuribayashi, A., Takeishi, N., Kawahara, Y., and Takeda, K., "Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios.", IEEE Trans. Neural Netw. Learn. Syst. PP, 1–15, (2024).
  2. Takeishi, N., and Kawahara, Y., "A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores", Transactions on Machine Learning Research, (2023).
  3. Fujii, K., Takeishi, N., Kawahara, Y., and Takeda, K., "Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling", Neural Netw. 171, 40–52, (2023).
  4. Bodenham, D. A., and Kawahara, Y., "euMMD: efficiently computing the MMD two-sample test statistic for univariate data", Stat. Comput. 33(5), 110, (2023).
  5. BAI, J., and KAWAHARA, Y., "MANet: Mixed Attention Network for Visual Explanation", New Generation Computing, 2u4is2c02–2u4is2c02, (2023).
  6. Ikeda, S., Kawano, K., Watanabe, S., Yamashita, O., and Kawahara, Y., "Predicting Behavior through Dynamic Modes in Resting-state fMRI Data. Neuroimage", Neuroimage 247, (2022).
  7. Hashimoto, Y., Ikeda, M., and Kadri, H., "Learning in RKHM: a C*-Algebraic Twist for Kernel Machines.", CoRR abs/2210.11855, (2022).
  8. 吉川譲二, 武石直也, 西山薫, 高橋久尚, 河原吉伸, 木下直人, "SOFC システムにおける故障予兆検知技術の検証", 電気学会論文誌 141(5), 712–719, (2021).
  9. Ohnishi, M., Ishikawa, I., Lowrey, K., Ikeda, M., Kakade, S. M., and Kawahara, Y., "Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning.", CoRR abs/2106.15775, (2021).
  10. Hashimoto, Y., Ishikawa, I., Ikeda, M., Komura, F., Katsura, T., and Kawahara, Y., "Reproducing kernel Hilbert C*-module and kernel mean embeddings.", J. Mach. Learn. Res. 22, 267:1–267:56, (2021).
  11. Hashimoto, Y., Ishikawa, I., Ikeda, M., Komura, F., Katsura, T., and Kawahara, Y., "Reproducing Kernel Hilbert C*-Modules and Kernel Mean Embeddings", J. Mach. Learn. Res. 22, 1–56, (2021).
  12. Fujii, K., "Data-Driven Analysis for Understanding Team Sports Behaviors.", J. Robotics Mechatronics 33(3), 505–514, (2021).
国際会議 / Proceedings
  1. Weissenbacher, M., Kawahara, Y., Sinha, S., and Garg, A., "Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics", Proceedings of the 39th International Conference on Machine Learning, 23645–23667, (2022).
  2. Takeuchi, K., Imaizumi, M., Kanda, S., Tabei, Y., Fujii, K., Yoda, K., Ishihata, M., and Maekawa, T., "Fréchet Kernel for Trajectory Data Analysis.", Sigspatial/gis, 221–224, (2021).
  3. Takeishi, N., and Kawahara, Y., "Learning Dynamics Models with Stable Invariant Sets", Proceedings of the AAAI Conference on Artificial Intelligence 35(11), 9782–9790, (2021).
  4. Fujii, K., Takeishi, N., Tsutsui, K., Fujioka, E., Nishiumi, N., Tanaka, R., Fukushiro, M., Ide, K., Kohno, H., Yoda, K., Takahashi, S., Hiryu, S., and Kawahara, Y., "Learning interaction rules from multi-animal trajectories via augmented behavioral models.", Advances in Neural Information Processing Systems (NeurIPS'21) 34, (2021).
  5. Ando, M., Kawahara, Y., Sunayama, W., and Hatanaka, Y., "Interpretation Support System for Classification Patterns using HMM in Deep learning with Texts", Proc. of the the 14th Int'l Conf. on Advances in Computer-Human Interactions (ACHI'21), 64–70, (2021).