| 2026 | ACL | Timesteps of Mamba Align with Human Reading Times. | Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara, Sho Yokoi |
| 2025 | AISTATS | Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators. | Naichang Ke, Ryogo Tanaka, Yoshinobu Kawahara |
| 2024 | ICAART | Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations. | Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara |
| 2024 | ICML | SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning. | Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara |
| 2022 | ICML | Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. | Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara |
| 2021 | AAAI | Learning Dynamics Models with Stable Invariant Sets. | Naoya Takeishi, Yoshinobu Kawahara |
| 2020 | IJCAI | Knowledge-Based Regularization in Generative Modeling. | Naoya Takeishi, Yoshinobu Kawahara |
| 2019 | ACML | Active Change-Point Detection. | Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima |
| 2019 | IJCNN | Learning with Coherence Patterns in Multivariate Time-series Data via Dynamic Mode Decomposition. | Takehito Bito, Masashi Hiraoka, Yoshinobu Kawahara |
| 2019 | SMC | An Efficient Branch-and-Cut Algorithm for Approximately Submodular Function Maximization. | Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara |
| 2019 | UAI | Variational Inference of Penalized Regression with Submodular Functions. | Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara |
| 2017 | ICIP | Sparse nonnegative dynamic mode decomposition. | Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi |
| 2017 | IJCAI | Bayesian Dynamic Mode Decomposition. | Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi |
| 2015 | AISTATS | On Approximate Non-submodular Minimization via Tree-Structured Supermodularity. | Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes |
| 2014 | AAAI | Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease. | Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Wen Gao |
| 2014 | SDM | Multi-Task Feature Selection on Multiple Networks via Maximum Flows. | Mahito Sugiyama, Chlo-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt |
| 2013 | ICDM | A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System. | Marina Demeshko, Takashi Washio, Yoshinobu Kawahara |
| 2013 | IV | Arrangement of Low-Dimensional Parallel Coordinate Plots for High-Dimensional Data Visualization. | Haruka Suematsu, Yunzhu Zheng, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara |
| 2013 | UAI | Structured Convex Optimization under Submodular Constraints. | Kiyohito Nagano, Yoshinobu Kawahara |
| 2012 | ICONIP | Robust Active Learning for Linear Regression via Density Power Divergence. | Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio |
| 2011 | ICML | Size-constrained Submodular Minimization through Minimum Norm Base. | Kiyohito Nagano, Yoshinobu Kawahara, Kazuyuki Aihara |
| 2011 | UAI | Discovering causal structures in binary exclusive-or skew acyclic models. | Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara |
| 2010 | ICONIP | Stationary Subspace Analysis as a Generalized Eigenvalue Problem. | Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bnau |
| 2010 | ICPR | Learning Non-linear Dynamical Systems by Alignment of Local Linear Models. | Masao Joko, Yoshinobu Kawahara, Takehisa Yairi |
| 2010 | IJCNN | An experimental comparison of linear non-Gaussian causal discovery methods and their variants. | Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio |
| 2009 | UAI | A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model. | Shohei Shimizu, Aapo Hyvrinen, Yoshinobu Kawahara |
| 2009 | SDM | Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation. | Yoshinobu Kawahara, Masashi Sugiyama |
| 2007 | ICDM | Change-Point Detection in Time-Series Data Based on Subspace Identification. | Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida |