Yorie Nakahira

77 papers A* 4A 2C 7Misc 1Journal 47Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fractional Risk Analysis of Stochastic Systems with Jumps and Memory. CoRR Yimeng Sun, Zhuoyuan Wang, Xiaole Zhang, Heng Ping, Jintang Xue, Paul Bogdan, Yorie Nakahira
2026	J	`jnl`	Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems. IEEE Trans. Autom. Control. Zhuoyuan Wang, Albert Chern, Yorie Nakahira
2026	J	`jnl`	OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference. CoRR Zhuoyuan Wang, Hanjiang Hu, Xiyu Deng, Saviz Mowlavi, Yorie Nakahira
2026	J	`jnl`	Physics-Informed Deep B-Spline Networks. Trans. Mach. Learn. Res. Zhuoyuan Wang, Raffaele Romagnoli, Saviz Mowlavi, Yorie Nakahira
2026	J	`jnl`	Polynomial Convergence of Riemannian Diffusion Models. CoRR Xingyu Xu, Ziyi Zhang, Yorie Nakahira, Guannan Qu, Yuejie Chi
2026	J	`jnl`	Rate-Cost Tradeoffs in Continuous-Time Control With a Biomolecular Application. IEEE Trans. Autom. Control. Yorie Nakahira, Fangzhou Xiao, Victoria Kostina, John C. Doyle
2026	J	`jnl`	UAVGENT: A Language-Guided Distributed Control Framework. CoRR Ziyi Zhang, Xiyu Deng, Guannan Qu, Yorie Nakahira
2025	J	`jnl`	Diversity Deconstrains Component Limitations in Sensorimotor Control. Neural Comput. Yorie Nakahira, Quanying Liu, Xiyu Deng, Terrence J. Sejnowski, John Doyle
2025	C	`conf`	Fast Bandit-based Policy Adaptation in Diverse Environments. ACC Ziyi Zhang, Guannan Qu, Yorie Nakahira
2025	—	`conf`	Kalman Bayesian Transformer. CDC Haoming Jing, Oren Wright, José M. F. Moura, Yorie Nakahira
2025	J	`jnl`	Kalman Bayesian Transformer. CoRR Haoming Jing, Oren Wright, José M. F. Moura, Yorie Nakahira
2025	A	`conf`	Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. UAI Ziyi Zhang, Yorie Nakahira, Guannan Qu
2025	J	`jnl`	Multi-Level Multi-Fidelity Methods for Path Integral and Safe Control. CoRR Zhuoyuan Wang, Takashi Tanaka, Yongxin Chen, Yorie Nakahira
2025	—	`conf`	Neural Spline Operators for Risk Quantification in Stochastic Systems. CDC Zhuoyuan Wang, Raffaele Romagnoli, Kamyar Azizzadenesheli, Yorie Nakahira
2025	J	`jnl`	Neural Spline Operators for Risk Quantification in Stochastic Systems. CoRR Zhuoyuan Wang, Raffaele Romagnoli, Kamyar Azizzadenesheli, Yorie Nakahira
2025	J	`jnl`	Online Adaptive Probabilistic Safety Certificate with Language Guidance. CoRR Zhuoyuan Wang, Xiyu Deng, Hikaru Hoshino, Yorie Nakahira
2025	J	`jnl`	Physics-Informed Deep B-Spline Networks for Dynamical Systems. CoRR Zhuoyuan Wang, Raffaele Romagnoli, Jasmine Ratchford, Yorie Nakahira
2025	J	`jnl`	Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information. Trans. Mach. Learn. Res. Ziyi Zhang, Yorie Nakahira, Guannan Qu
2025	J	`jnl`	Rate-cost tradeoffs in continuous-time control with a biomolecular application. CoRR Yorie Nakahira, Fangzhou Xiao, Victoria Kostina, John C. Doyle
2025	J	`jnl`	Safe Driving in Occluded Environments. CoRR Zhuoyuan Wang, Tongyao Jia, Pharuj Rajborirug, Neeraj Ramesh, Hiroyuki Okuda, Tatsuya Suzuki, Soummya Kar, Yorie Nakahira
2025	A*	`conf`	Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics. ICML Haoming Jing, Yorie Nakahira
2025	J	`jnl`	Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics. CoRR Haoming Jing, Yorie Nakahira
2025	J	`jnl`	Stabilizing Linear Systems under Partial Observability: Sample Complexity and Fundamental Limits. CoRR Ziyi Zhang, Yorie Nakahira, Guannan Qu
2024	A	`conf`	An Analytic Solution to Covariance Propagation in Neural Networks. AISTATS Oren Wright, Yorie Nakahira, José M. F. Moura
2024	J	`jnl`	An Analytic Solution to Covariance Propagation in Neural Networks. CoRR Oren Wright, Yorie Nakahira, José M. F. Moura
2024	—	`conf`	Autonomous Drifting Based on Maximal Safety Probability Learning. ITSC Hikaru Hoshino, Jiaxing Li, Arnav Menon, John M. Dolan, Yorie Nakahira
2024	J	`jnl`	Autonomous Drifting Based on Maximal Safety Probability Learning. CoRR Hikaru Hoshino, Jiaxing Li, Arnav Menon, John M. Dolan, Yorie Nakahira
2024	J	`jnl`	Context-aware LLM-based Safe Control Against Latent Risks. CoRR Quan Khanh Luu, Xiyu Deng, Anh Van Ho, Yorie Nakahira
2024	J	`jnl`	Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems. CoRR Zhuoyuan Wang, Albert Chern, Yorie Nakahira
2024	J	`jnl`	Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. CoRR Ziyi Zhang, Yorie Nakahira, Guannan Qu
2024	J	`jnl`	Myopically Verifiable Probabilistic Certificates for Safe Control and Learning. CoRR Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira
2024	J	`jnl`	Orthogonal Modal Representation in Long-Term Risk Quantification for Dynamic Multi-Agent Systems. IEEE Control. Syst. Lett. Ryoma Yasunaga, Yorie Nakahira, Yutaka Hori
2024	A*	`conf`	Physics-Informed Representation and Learning: Control and Risk Quantification. AAAI Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira
2024	C	`conf`	Physics-informed RL for Maximal Safety Probability Estimation. ACC Hikaru Hoshino, Yorie Nakahira
2024	J	`jnl`	Physics-informed RL for Maximal Safety Probability Estimation. CoRR Hikaru Hoshino, Yorie Nakahira
2024	J	`jnl`	Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information. CoRR Ziyi Zhang, Yorie Nakahira, Guannan Qu
2024	J	`jnl`	Sample-Optimal Zero-Violation Safety For Continuous Control. CoRR Ritabrata Ray, Yorie Nakahira, Soummya Kar
2024	A*	`conf`	Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. ICRA Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
2023	—	`conf`	A Generalizable Physics-informed Learning Framework for Risk Probability Estimation. L4DC Zhuoyuan Wang, Yorie Nakahira
2023	J	`jnl`	A Generalizable Physics-informed Learning Framework for Risk Probability Estimation. CoRR Zhuoyuan Wang, Yorie Nakahira
2023	—	`conf`	A Learning and Control Perspective for Microfinance. L4DC Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira
2023	—	`conf`	Bayesian Network-Based Probabilistic Constraints for Safe Autonomous Driving in Occlusion Environments. ITSC Naoya Yamada, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki, Yorie Nakahira
2023	J	`jnl`	Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler. Oper. Res. Yorie Nakahira, Andrés Ferragut, Adam Wierman
2023	J	`jnl`	Physics-informed Representation and Learning: Control and Risk Quantification. CoRR Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira
2023	J	`jnl`	Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer Robert P. Dick, Rob Aitken, Jace Mogill, John Paul Strachan, Kirk Bresniker, Wei Lu, Yorie Nakahira, Zhiyong Li, Matthew J. Marinella, William Severa, A. Alec Talin, Craig M. Vineyard, Suhas Kumar, Christian Mailhiot, Lennie Klebanoff
2023	A*	`conf`	Rethinking Safe Control in the Presence of Self-Seeking Humans. AAAI Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira
2023	J	`jnl`	Scalable Long-Term Safety Certificate for Large-Scale Systems. IEEE Control. Syst. Lett. Kenta Hoshino, Zhuoyuan Wang, Yorie Nakahira
2023	J	`jnl`	Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. CoRR Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
2022	J	`jnl`	A Learning and Control Perspective for Microfinance. CoRR Christian Kurniawan, Xiyu Deng, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira
2022	C	`conf`	Adaptive Safe Control for Driving in Uncertain Environments. IV Siddharth Gangadhar, Zhuoyuan Wang, Haoming Jing, Yorie Nakahira
2022	C	`conf`	Myopically Verifiable Probabilistic Certificate for Long-term Safety. ACC Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira
2022	—	`conf`	Probabilistic Safety Certificate for Multi-agent Systems. CDC Haoming Jing, Yorie Nakahira
2022	J	`jnl`	Rethinking Safe Control in the Presence of Self-Seeking Humans. CoRR Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira
2022	J	`jnl`	Smoothed Least-Laxity-First Algorithm for Electric Vehicle Charging: Online Decision and Performance Analysis With Resource Augmentation. IEEE Trans. Smart Grid Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low
2021	Misc	`conf`	Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks. CISS Quanying Liu, Christian Kurniawan, Chenxi Xu, Siddhant Jagtap, Xiyu Deng, Kexin Lou, Yong Sheng Soh, Yorie Nakahira
2021	—	`conf`	Safe Control in the Presence of Stochastic Uncertainties. CDC Albert Chern, Xiang Wang, Abhiram Iyer, Yorie Nakahira
2021	J	`jnl`	Smoothed Least-Laxity-First Algorithm for EV Charging. CoRR Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low
2020	J	`jnl`	An Integrative Perspective to LQ and $\ell _\infty$ Control for Delayed and Quantized Systems. IEEE Trans. Autom. Control. Yorie Nakahira, Lijun Chen
2019	J	`jnl`	Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control. CoRR Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
2019	C	`conf`	Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control. ACC Quanying Liu, Yorie Nakahira, Ahkeel Mohideen, Adam Dai, Sunghoon Choi, Angelina Pan, Dimitar Ho, John C. Doyle
2019	J	`jnl`	Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. CoRR Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
2019	C	`conf`	Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control. ACC Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle
2018	J	`jnl`	Algorithms for Optimal Control with Fixed-Rate Feedback. CoRR Anatoly Khina, Yorie Nakahira, Yu Su, Hikmet Yildiz, Babak Hassibi
2018	J	`jnl`	Attack-Resilient ℋ IEEE Trans. Autom. Control. Yorie Nakahira, Yilin Mo
2018	C	`conf`	Fundamental limits and achievable performance in biomolecular control. ACC Yorie Nakahira, Fangzhou Xiao, Victoria Kostina, John C. Doyle
2018	J	`jnl`	Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment. SIGMETRICS Perform. Evaluation Rev. Yorie Nakahira, Andrés Ferragut, Adam Wierman
2018	J	`jnl`	Minimal-variance distributed scheduling under strict demands and deadlines. SIGMETRICS Perform. Evaluation Rev. Yorie Nakahira, Andrés Ferragut, Adam Wierman
2017	—	`conf`	Algorithms for optimal control with fixed-rate feedback. CDC Anatoly Khina, Yorie Nakahira, Yu Su, Babak Hassibi
2017	J	`jnl`	Electric vehicle charging: a queueing approach. CoRR Angelos Aveklouris, Yorie Nakahira, Maria Vlasiou, Bert Zwart
2017	J	`jnl`	Electric vehicle charging: a queueing approach. SIGMETRICS Perform. Evaluation Rev. Angelos Aveklouris, Yorie Nakahira, Maria Vlasiou, Bert Zwart
2017	—	`conf`	Smoothed Least-laxity-first Algorithm for EV Charging. e-Energy Yorie Nakahira, Niangjun Chen, Lijun Chen, Steven H. Low
2016	—	`conf`	LQ vs. ℓ∞ in controller design for systems with delay and quantization. CDC Yorie Nakahira
2016	—	`conf`	Teaching control theory in high school. CDC John Doyle, Yorie Nakahira, Yoke Peng Leong, Emily Jenson, Adam Dai, Dimitar Ho, Nikolai Matni
2015	—	`conf`	Dynamic state estimation in the presence of compromised sensory data. CDC Yorie Nakahira, Yilin Mo
2015	—	`conf`	Hard limits on robust control over delayed and quantized communication channels with applications to sensorimotor control. CDC Yorie Nakahira, Nikolai Matni, John C. Doyle
2012	—	`conf`	Computational Model for Probability Prediction of Scan Paths in Static Scenes. VISAPP (1) Yorie Nakahira, Minoru Nakayama
2012	—	`conf`	Feasibility of Computational Estimation of Task-Oriented Visual Attention. AUIC Yorie Nakahira, Minoru Nakayama