| 2025 | ICML | Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics. | Haoming Jing, Yorie Nakahira |
| 2025 | UAI | Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. | Ziyi Zhang, Yorie Nakahira, Guannan Qu |
| 2024 | AAAI | Physics-Informed Representation and Learning: Control and Risk Quantification. | Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira |
| 2024 | AISTATS | An Analytic Solution to Covariance Propagation in Neural Networks. | Oren Wright, Yorie Nakahira, Jos M. F. Moura |
| 2024 | ICRA | Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. | Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu |
| 2023 | AAAI | Rethinking Safe Control in the Presence of Self-Seeking Humans. | Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira |
| 2021 | CISS | Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks. | Quanying Liu, Christian Kurniawan, Chenxi Xu, Siddhant Jagtap, Xiyu Deng, Kexin Lou, Yong Sheng Soh, Yorie Nakahira |