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 .
2024〜
M. Weissenbacher, E. Routis and Y. Kawahara, "Self-supervised Color Generalization in Reinforcement Learning," Transactions on Machine Learning Research (accepted).- Y. Inui, T. Konishi, and Y. Kawahara, "Learning with Almost Invariant Sets in Neural Oscillatory ODEs," in Proc. of the 31st Int'l Conf. on Neural Information Processing (ICONIP'24) (accepted).
- I. Sakata and Y. Kawahara, "Enhancing Spectral Analysis in Nonlinear Dynamics: An Approach Based on Pseudoeigenfunctions from Continuous Spectra," Scientific Reports, Vol.14, Article Number 19276, 2024.
- M. Ohnishi, I. Ishikawa, K. Lowrey, M. Ikeda, S.M. Kakade, and Y. Kawahara, "Koopman Spectrum Nonlinear Regulators and Efficient Online Learning," Transactions on Machine Learning Research, ISSN: 2835-8856, 2024.
- R. Fukuma, K. Majima, Y. Kawahara, O. Yamashita, Y. Shiraishia, H. Kishima, and T. Yanagisawa, "Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition," Communications Biology, Vol.7, Article number 595, 2024.
- M. Weissenbacher, R. Agarwal, and Y. Kawahara, "SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning," in Proc. of the 41st Int'l Conf. on Machine Learning (ICML'24), PMLR 235:52695-52719, 2024.
- J. Bai and Y. Kawahara, ``MANet: Mixed Attention Network for Visual Explanation," New Generation Computing, DOI: 10.1007/s00354-024-00252-7, 2024.
- 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), Volume 2: ICAART, 27-39 (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).