Yorie Nakahira

According to our database, Yorie Nakahira authored at least 44 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information.

Ziyi Zhang, Yorie Nakahira, Guannan Qu

CoRR, 2024

Autonomous Drifting Based on Maximal Safety Probability Learning.

Hikaru Hoshino, Jiaxing Li, Arnav Menon, John M. Dolan, Yorie Nakahira

CoRR, 2024

Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems.

Zhuoyuan Wang, Albert Chern, Yorie Nakahira

CoRR, 2024

Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise.

Ziyi Zhang, Yorie Nakahira, Guannan Qu

CoRR, 2024

Myopically Verifiable Probabilistic Certificates for Safe Control and Learning.

Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira

CoRR, 2024

Context-aware LLM-based Safe Control Against Latent Risks.

Quan Khanh Luu, Xiyu Deng, Anh Van Ho, Yorie Nakahira

CoRR, 2024

Sample-Optimal Zero-Violation Safety For Continuous Control.

Ritabrata Ray, Yorie Nakahira, Soummya Kar

CoRR, 2024

Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction.

Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Physics-informed RL for Maximal Safety Probability Estimation.

Hikaru Hoshino, Yorie Nakahira

Proceedings of the American Control Conference, 2024

An Analytic Solution to Covariance Propagation in Neural Networks.

Oren Wright, Yorie Nakahira, José M. F. Moura

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Physics-Informed Representation and Learning: Control and Risk Quantification.

Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler.

Yorie Nakahira, Andrés Ferragut, Adam Wierman

Oper. Res., March, 2023

Research Challenges for Energy-Efficient Computing in Automated Vehicles.

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

Computer, March, 2023

Scalable Long-Term Safety Certificate for Large-Scale Systems.

Kenta Hoshino, Zhuoyuan Wang, Yorie Nakahira

IEEE Control. Syst. Lett., 2023

A Generalizable Physics-informed Learning Framework for Risk Probability Estimation.

Zhuoyuan Wang, Yorie Nakahira

Proceedings of the Learning for Dynamics and Control Conference, 2023

A Learning and Control Perspective for Microfinance.

Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira

Proceedings of the Learning for Dynamics and Control Conference, 2023

Bayesian Network-Based Probabilistic Constraints for Safe Autonomous Driving in Occlusion Environments.

Naoya Yamada, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki, Yorie Nakahira

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Rethinking Safe Control in the Presence of Self-Seeking Humans.

Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Smoothed Least-Laxity-First Algorithm for Electric Vehicle Charging: Online Decision and Performance Analysis With Resource Augmentation.

Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low

IEEE Trans. Smart Grid, 2022

Adaptive Safe Control for Driving in Uncertain Environments.

Siddharth Gangadhar, Zhuoyuan Wang, Haoming Jing, Yorie Nakahira

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Probabilistic Safety Certificate for Multi-agent Systems.

Haoming Jing, Yorie Nakahira

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Myopically Verifiable Probabilistic Certificate for Long-term Safety.

Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira

Proceedings of the American Control Conference, 2022

2021

Smoothed Least-Laxity-First Algorithm for EV Charging.

Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low

CoRR, 2021

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

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Safe Control in the Presence of Stochastic Uncertainties.

Albert Chern, Xiang Wang, Abhiram Iyer, Yorie Nakahira

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

An Integrative Perspective to LQ and $\ell _\infty$ Control for Delayed and Quantized Systems.

Yorie Nakahira, Lijun Chen

IEEE Trans. Autom. Control., 2020

2019

Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control.

Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle

CoRR, 2019

Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control.

Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle

CoRR, 2019

Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control.

Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle

Proceedings of the 2019 American Control Conference, 2019

Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control.

Quanying Liu, Yorie Nakahira, Ahkeel Mohideen, Adam Dai, Sunghoon Choi, Angelina Pan, Dimitar Ho, John C. Doyle

Proceedings of the 2019 American Control Conference, 2019

2018

Attack-Resilient ℋ₂, ℋ_∩, and ℓ₁ State Estimator.

Yorie Nakahira, Yilin Mo

IEEE Trans. Autom. Control., 2018

Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment.

Yorie Nakahira, Andrés Ferragut, Adam Wierman

SIGMETRICS Perform. Evaluation Rev., 2018

Minimal-variance distributed scheduling under strict demands and deadlines.

Yorie Nakahira, Andrés Ferragut, Adam Wierman

SIGMETRICS Perform. Evaluation Rev., 2018

Algorithms for Optimal Control with Fixed-Rate Feedback.

Anatoly Khina, Yorie Nakahira, Yu Su, Hikmet Yildiz, Babak Hassibi

CoRR, 2018

Fundamental limits and achievable performance in biomolecular control.

Yorie Nakahira, Fangzhou Xiao, Victoria Kostina, John C. Doyle

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Electric vehicle charging: a queueing approach.

Angelos Aveklouris, Yorie Nakahira, Maria Vlasiou, Bert Zwart

SIGMETRICS Perform. Evaluation Rev., 2017

Smoothed Least-laxity-first Algorithm for EV Charging.

Yorie Nakahira, Niangjun Chen, Lijun Chen, Steven H. Low

Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Algorithms for optimal control with fixed-rate feedback.

Anatoly Khina, Yorie Nakahira, Yu Su, Babak Hassibi

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

LQ vs. ℓ∞ in controller design for systems with delay and quantization.

Yorie Nakahira

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Teaching control theory in high school.

John Doyle, Yorie Nakahira, Yoke Peng Leong, Emily Jenson, Adam Dai, Dimitar Ho, Nikolai Matni

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Hard limits on robust control over delayed and quantized communication channels with applications to sensorimotor control.

Yorie Nakahira, Nikolai Matni, John C. Doyle

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Dynamic state estimation in the presence of compromised sensory data.

Yorie Nakahira, Yilin Mo

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2012

Computational Model for Probability Prediction of Scan Paths in Static Scenes.

Yorie Nakahira, Minoru Nakayama

Proceedings of the VISAPP 2012, 2012

Feasibility of Computational Estimation of Task-Oriented Visual Attention.

Yorie Nakahira, Minoru Nakayama

Proceedings of the Thirteenth Australasian User Interface Conference, 2012