Yoshinobu Kawahara
Kyushu University
H-index: 25
Asia-Japan
Top articles of Yoshinobu Kawahara
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Glocal Hypergradient Estimation with Koopman Operator | arXiv preprint arXiv:2402.02741 | Ryuichiro Hataya Yoshinobu Kawahara | 2024/2/5 |
Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces | arXiv preprint arXiv:2403.02524 | Isao Ishikawa Yuka Hashimoto Masahiro Ikeda Yoshinobu Kawahara | 2024/3/4 |
信息处理装置, 信息处理方法以及程序 | 2024/1/19 | ||
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling | Neural Networks | Keisuke Fujii Naoya Takeishi Yoshinobu Kawahara Kazuya Takeda | 2024/3/1 |
Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data | Frontiers in Psychiatry | Hidenori Endo Shigeyuki Ikeda Kenichiro Harada Hirotaka Yamagata Toshio Matsubara | 2024 |
Enhancing Spectral Analysis in Nonlinear Dynamics: An Approach Based on Generalized Eigenfunctions from Continuous Spectra | Itsushi Sakata Yoshinobu Kawahara | 2024/2/28 | |
Dynamic mode decomposition for Koopman spectral analysis of elementary cellular automata | Chaos: An Interdisciplinary Journal of Nonlinear Science | Keisuke Taga Yuzuru Kato Yoshihiro Yamazaki Yoshinobu Kawahara Hiroya Nakao | 2024/1/1 |
Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios | IEEE Transactions on Neural Networks and Learning Systems | Keisuke Fujii Koh Takeuchi Atsushi Kuribayashi Naoya Takeishi Yoshinobu Kawahara | 2024/2/26 |
Many-body Approximation for Non-negative Tensors | Advances in Neural Information Processing Systems | Kazu Ghalamkari Mahito Sugiyama Yoshinobu Kawahara | 2024/2/13 |
Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics | Journal of Computational Dynamics | Tomoharu Iwata Yoshinobu Kawahara | 2023/4 |
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning | Matthias Weissenbacher Rishabh Agarwal Yoshinobu Kawahara | 2023/10/13 | |
Relationship extraction apparatus, relationship extraction method, and program | 2023/3/16 | ||
euMMD: efficiently computing the MMD two-sample test statistic for univariate data | Statistics and Computing | Dean A Bodenham Yoshinobu Kawahara | 2023/10 |
MANet: Mixed Attention Network for Visual Explanation | JINGJING BAI Yoshinobu Kawahara | 2023 | |
Stable invariant models via Koopman spectra | Neural Networks | Takuya Konishi Yoshinobu Kawahara | 2023/8 |
Analysis apparatus, analysis method and program | 2023/7/27 | ||
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations | arXiv preprint arXiv:2305.13030 | Keisuke Fujii Kazushi Tsutsui Atom Scott Hiroshi Nakahara Naoya Takeishi | 2023/5/22 |
Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition | arXiv preprint arXiv:2311.04225 | Ryohei Fukuma Kei Majima Yoshinobu Kawahara Okito Yamashita Yoshiyuki Shiraishi | 2023/10/31 |
Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos | Computer Vision and Image Understanding | Israr Ul Haq Tomoharu Iwata Yoshinobu Kawahara | 2022/2/1 |
Data-driven operator-theoretic analysis of weak interactions in synchronized network dynamics | arXiv preprint arXiv:2208.06186 | Yuka Hashimoto Masahiro Ikeda Hiroya Nakao Yoshinobu Kawahara | 2022/8/12 |
Co-Authors
