Yorie Nakahira

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Probability Estimation

Neuronal Networks

Top Venues

SIGMETRICS Perform. Evaluation Rev.

Publications

Oren Wright, Yorie Nakahira, José M. F. Moura
An Analytic Solution to Covariance Propagation in Neural Networks. AISTATS (2024)
Ritabrata Ray, Yorie Nakahira, Soummya Kar
Sample-Optimal Zero-Violation Safety For Continuous Control. CoRR (2024)
Quan Khanh Luu, Xiyu Deng, Anh Van Ho, Yorie Nakahira
Context-aware LLM-based Safe Control Against Latent Risks. CoRR (2024)
Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira
Myopically Verifiable Probabilistic Certificates for Safe Control and Learning. CoRR (2024)
Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira
Physics-Informed Representation and Learning: Control and Risk Quantification. AAAI (2024)
Hikaru Hoshino, Yorie Nakahira
Physics-informed RL for Maximal Safety Probability Estimation. CoRR (2024)
Ziyi Zhang, Yorie Nakahira, Guannan Qu
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. CoRR (2024)
Zhuoyuan Wang, Albert Chern, Yorie Nakahira
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems. CoRR (2024)
Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. ICRA (2024)
Oren Wright, Yorie Nakahira, José M. F. Moura
An Analytic Solution to Covariance Propagation in Neural Networks. CoRR (2024)
Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. CoRR (2023)
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
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56 (3) (2023)
Zhuoyuan Wang, Yorie Nakahira
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation. L4DC (2023)
Yorie Nakahira, Andrés Ferragut, Adam Wierman
Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler. Oper. Res. 71 (2) (2023)
Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira
Rethinking Safe Control in the Presence of Self-Seeking Humans. AAAI (2023)
Naoya Yamada, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki, Yorie Nakahira
Bayesian Network-Based Probabilistic Constraints for Safe Autonomous Driving in Occlusion Environments. ITSC (2023)
Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira
Physics-informed Representation and Learning: Control and Risk Quantification. CoRR (2023)
Zhuoyuan Wang, Yorie Nakahira
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation. CoRR (2023)
Kenta Hoshino, Zhuoyuan Wang, Yorie Nakahira
Scalable Long-Term Safety Certificate for Large-Scale Systems. IEEE Control. Syst. Lett. 7 (2023)
Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira
A Learning and Control Perspective for Microfinance. L4DC (2023)
Christian Kurniawan, Xiyu Deng, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira
A Learning and Control Perspective for Microfinance. CoRR (2022)
Haoming Jing, Yorie Nakahira
Probabilistic Safety Certificate for Multi-agent Systems. CDC (2022)
Siddharth Gangadhar, Zhuoyuan Wang, Haoming Jing, Yorie Nakahira
Adaptive Safe Control for Driving in Uncertain Environments. IV (2022)
Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low
Smoothed Least-Laxity-First Algorithm for Electric Vehicle Charging: Online Decision and Performance Analysis With Resource Augmentation. IEEE Trans. Smart Grid 13 (3) (2022)
Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira
Myopically Verifiable Probabilistic Certificate for Long-term Safety. ACC (2022)
Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira
Rethinking Safe Control in the Presence of Self-Seeking Humans. CoRR (2022)
Albert Chern, Xiang Wang, Abhiram Iyer, Yorie Nakahira
Safe Control in the Presence of Stochastic Uncertainties. CDC (2021)
Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low
Smoothed Least-Laxity-First Algorithm for EV Charging. CoRR (2021)
Quanying Liu, Christian Kurniawan, Chenxi Xu, Siddhant Jagtap, Xiyu Deng, Kexin Lou, Yong Sheng Soh, Yorie Nakahira
Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks. CISS (2021)
Yorie Nakahira, Lijun Chen
An Integrative Perspective to LQ and $\ell _\infty$ Control for Delayed and Quantized Systems. IEEE Trans. Autom. Control. 65 (11) (2020)
Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle
Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control. ACC (2019)
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control. CoRR (2019)
Quanying Liu, Yorie Nakahira, Ahkeel Mohideen, Adam Dai, Sunghoon Choi, Angelina Pan, Dimitar Ho, John C. Doyle
Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control. ACC (2019)
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. CoRR (2019)
Yorie Nakahira, Andrés Ferragut, Adam Wierman
Minimal-variance distributed scheduling under strict demands and deadlines. SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Yorie Nakahira, Yilin Mo
State Estimator. IEEE Trans. Autom. Control. 63 (12) (2018)
Yorie Nakahira, Andrés Ferragut, Adam Wierman
Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment. SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
Anatoly Khina, Yorie Nakahira, Yu Su, Hikmet Yildiz, Babak Hassibi
Algorithms for Optimal Control with Fixed-Rate Feedback. CoRR (2018)
Yorie Nakahira, Fangzhou Xiao, Victoria Kostina, John C. Doyle
Fundamental limits and achievable performance in biomolecular control. ACC (2018)
Anatoly Khina, Yorie Nakahira, Yu Su, Babak Hassibi
Algorithms for optimal control with fixed-rate feedback. CDC (2017)
Angelos Aveklouris, Yorie Nakahira, Maria Vlasiou, Bert Zwart
Electric vehicle charging: a queueing approach. SIGMETRICS Perform. Evaluation Rev. 45 (2) (2017)
Angelos Aveklouris, Yorie Nakahira, Maria Vlasiou, Bert Zwart
Electric vehicle charging: a queueing approach. CoRR (2017)
Yorie Nakahira, Niangjun Chen, Lijun Chen, Steven H. Low
Smoothed Least-laxity-first Algorithm for EV Charging. e-Energy (2017)
John Doyle, Yorie Nakahira, Yoke Peng Leong, Emily Jenson, Adam Dai, Dimitar Ho, Nikolai Matni
Teaching control theory in high school. CDC (2016)
Yorie Nakahira
LQ vs. ℓ∞ in controller design for systems with delay and quantization. CDC (2016)
Yorie Nakahira, Yilin Mo
Dynamic state estimation in the presence of compromised sensory data. CDC (2015)
Yorie Nakahira, Nikolai Matni, John C. Doyle
Hard limits on robust control over delayed and quantized communication channels with applications to sensorimotor control. CDC (2015)
Yorie Nakahira, Minoru Nakayama
Feasibility of Computational Estimation of Task-Oriented Visual Attention. AUIC (2012)
Yorie Nakahira, Minoru Nakayama
Computational Model for Probability Prediction of Scan Paths in Static Scenes. VISAPP (1) (2012)