RIKEN Center for Advanced Intelligence Project Structured Learning Team
Team Leader: Yoshinobu Kawahara (D.Eng.)
Research Summary

When making predictions based on intelligent information processing such as machine learning, we usually have prior information about structures among variables in data. In our team, we study theories and algorithms for learning with such structural information. Moreover, we conduct applied researches by applying developed algorithms to a variety of scientific and engineering data.
Research Subjects:
- Machine learning with structural prior information
- Machine learning for analysis, prediction and control of complex dynamics
- Application of developed methods to scientific and engineering data
Main Research Fields
- Informatics
Related Research Fields
- Engineering
- Mathematical & Physical Sciences
- Mathematical informatics
- Statistical science
- Intelligent informatics
Keywords
- Machine Learning
- Dynamical Systems
- Learning with Prior Knowledge
- Nonlinear Dynamics
Selected Publications
- 1.
Weissenbacher, Agarwal, R., and Kawahara, Y.:
"SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning"
Proceedings of the 41st International Conference on Machine Learning, pp.52695-52719 (2024). - 2.
Fujii, K., Takeuchi, K., Kuribayashi, A., Takeishi, N., Kawahara, Y., and Takeda, K.:
"Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios"
IEEE Transactions on Neural Networks and Learning Systems (2024). - 3.
Ohnishi, M., Ishikawa, I., Lowrey, K., Ikeda, M., Kakade, S., and Kawahara, Y.:
"Koopman Spectrum Nonlinear Regulators and Efficient On-line Learning"
Transactions on Machine Learning Research (2024). - 4.
Konishi, T. and Kawahara, Y.:
"Stable invariant models via Koopman spectra"
Neural Networks 165, pp.393-405 (2023). - 5.
Iwata, T. and Kawahara, Y.:
"Neural dynamic mode decomposition for end-to-end modeling of nonlinear dynamics"
Journal of Computational Dynamics 10(2), pp.268-280 (2023). - 6.
Weissenbacher, M., Sinha, S., Garg, A., and Kawahara, Y.:
"Koopman Q-learning: Offline reinforcement learning via symmetries of dynamics"
Proceedings of the 39th International Conference on Machine Learning, pp.23645-23667 (2022). - 7.
Ikeda, S., Kawano, K., Watanabe, S., Yamashita, O., and Kawahara, Y.:
"Predicting behavior through dynamic modes in resting-state fMRI data"
NeuroImage 247, 118801 (2022). - 8.
Hashimoto, Y., Ishikawa, I., Ikeda, M., Komura, F., Katsura, T., and Kawahara, Y.:
"Reproducing kernel Hilbert C*-modules and kernel mean embeddings"
Journal of Machine Learning Research, Vol.22, No.267, pp.1-56 (2021). - 9.
Fujii, K., Takeishi, N., Tsutui, K., Fujioka, E., Nishiumi, N., Tanaka, R., Fukushiro, M., Ide, K., Kohno, H., Yoda, K., Takahashi, S., Hiryu, S., and Kawahara, Y.:
"Learning interactions rules from multi-animal trajectories via augmented behavioral models"
Advances in Neural Information Processing Systems 34, pp.11108-11122 (2021). - 10.
Takeishi, N., and Kawahara, Y.:
"Learning Dynamics Models with Stable Invariant Sets"
Proceedings of the 35th AAAI Conference on Artificial Intelligence, pp.9782-9790 (2021).
Related Links
Lab Members
Principal investigator
- Yoshinobu Kawahara
- Team Leader
Core members
- Velmurugan Gandhi
- Postdoctoral Researcher
- Itsushi Sakata
- Postdoctoral Researcher
- Yoshiteru Nishimura
- Technical Staff I
- Keisuke Fujii
- Visiting Scientist
- Yuka Hashimoto
- Visiting Scientist
- Takuya Konishi
- Visiting Scientist
- Naoya Takeishi
- Visiting Scientist
- Jingjing Bai
- Research Part-time Worker I
- Ryogo Tanaka
- Research Part-time Worker I
- Yuto Inui
- Research Part-time Worker II
- Yuta Miyauchi
- Research Part-time Worker II
Careers
Position | Deadline |
---|---|
Seeking a Research Scientist or Postdoctoral Researcher (W23337) | Open until filled |
Contact Information
Graduate School of Information Science A Bldg.,
Suita Campus, Osaka University,
1-5 Yamadaoka, Suita-shi, Osaka
565-0871 Japan
Email: yoshinobu.kawahara@riken.jp