This is a yearly list of major publications since October 2022 when the laboratory at Osaka Univ. was established.
For the previous publications, please see each faculty member's page [Members] .

2024〜

• 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 Trans. 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.

2023

• 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.

2022

(Since October 2022)

• 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 (This paper received the Best Poster Award).