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ORCIDYorie Nakahira
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2020 – today
- 2024
[c24]Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira:
Physics-Informed Representation and Learning: Control and Risk Quantification. AAAI 2024: 21699-21707- [c23]Oren Wright, Yorie Nakahira, José M. F. Moura:
An Analytic Solution to Covariance Propagation in Neural Networks. AISTATS 2024: 4087-4095 - [c22]Hikaru Hoshino, Yorie Nakahira:
Physics-informed RL for Maximal Safety Probability Estimation. ACC 2024: 3576-3583 - [c21]Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu:
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. ICRA 2024: 12956-12963 - [i19]Ritabrata Ray, Yorie Nakahira, Soummya Kar:
Sample-Optimal Zero-Violation Safety For Continuous Control. CoRR abs/2403.06045 (2024) - [i18]Quan Khanh Luu, Xiyu Deng, Anh Van Ho, Yorie Nakahira:
Context-aware LLM-based Safe Control Against Latent Risks. CoRR abs/2403.11863 (2024) - [i17]Oren Wright, Yorie Nakahira, José M. F. Moura:
An Analytic Solution to Covariance Propagation in Neural Networks. CoRR abs/2403.16163 (2024) - [i16]Hikaru Hoshino
, Yorie Nakahira:
Physics-informed RL for Maximal Safety Probability Estimation. CoRR abs/2403.16391 (2024) - [i15]Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira:
Myopically Verifiable Probabilistic Certificates for Safe Control and Learning. CoRR abs/2404.16883 (2024) - [i14]Ziyi Zhang, Yorie Nakahira, Guannan Qu:
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. CoRR abs/2406.00234 (2024) - [i13]Zhuoyuan Wang, Albert Chern, Yorie Nakahira:
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems. CoRR abs/2407.08868 (2024) - [i12]Hikaru Hoshino, Jiaxing Li, Arnav Menon, John M. Dolan, Yorie Nakahira:
Autonomous Drifting Based on Maximal Safety Probability Learning. CoRR abs/2409.03160 (2024) - [i11]Ziyi Zhang, Yorie Nakahira, Guannan Qu:
Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information. CoRR abs/2409.08434 (2024) - 2023
- [j9]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): 47-58 (2023) - [j8]Kenta Hoshino, Zhuoyuan Wang, Yorie Nakahira:
Scalable Long-Term Safety Certificate for Large-Scale Systems. IEEE Control. Syst. Lett. 7: 1285-1290 (2023) - [j7]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler. Oper. Res. 71(2): 433-470 (2023) - [c20]Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira:
Rethinking Safe Control in the Presence of Self-Seeking Humans. AAAI 2023: 15331-15339 - [c19]Naoya Yamada, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki, Yorie Nakahira:
Bayesian Network-Based Probabilistic Constraints for Safe Autonomous Driving in Occlusion Environments. ITSC 2023: 3770-3777 - [c18]Zhuoyuan Wang, Yorie Nakahira:
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation. L4DC 2023: 358-370 - [c17]Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira:
A Learning and Control Perspective for Microfinance. L4DC 2023: 915-927 - [i10]Zhuoyuan Wang, Yorie Nakahira:
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation. CoRR abs/2305.06432 (2023) - [i9]Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu:
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. CoRR abs/2311.11893 (2023) - [i8]Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira:
Physics-informed Representation and Learning: Control and Risk Quantification. CoRR abs/2312.10594 (2023) - 2022
- [j6]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): 2209-2217 (2022) - [c16]Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira:
Myopically Verifiable Probabilistic Certificate for Long-term Safety. ACC 2022: 4894-4900 - [c15]Haoming Jing, Yorie Nakahira:
Probabilistic Safety Certificate for Multi-agent Systems. CDC 2022: 5343-5350 - [c14]Siddharth Gangadhar, Zhuoyuan Wang, Haoming Jing, Yorie Nakahira:
Adaptive Safe Control for Driving in Uncertain Environments. IV 2022: 1662-1668 - [i7]Christian Kurniawan, Xiyu Deng, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira:
A Learning and Control Perspective for Microfinance. CoRR abs/2207.12631 (2022) - [i6]Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira:
Rethinking Safe Control in the Presence of Self-Seeking Humans. CoRR abs/2212.00295 (2022) - 2021
- [c13]Albert Chern, Xiang Wang, Abhiram Iyer, Yorie Nakahira:
Safe Control in the Presence of Stochastic Uncertainties. CDC 2021: 6640-6645 - [c12]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: 1-6 - [i5]Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low:
Smoothed Least-Laxity-First Algorithm for EV Charging. CoRR abs/2102.08610 (2021) - 2020
- [j5]Yorie Nakahira, Lijun Chen:
An Integrative Perspective to LQ and $\ell _\infty$ Control for Delayed and Quantized Systems. IEEE Trans. Autom. Control. 65(11): 4781-4792 (2020)
2010 – 2019
- 2019
- [c11]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: 483-488 - [c10]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: 809-814 - [i4]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 abs/1906.00905 (2019) - [i3]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 abs/1909.08601 (2019) - 2018
- [j4]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Minimal-variance distributed scheduling under strict demands and deadlines. SIGMETRICS Perform. Evaluation Rev. 46(2): 12-14 (2018) - [j3]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment. SIGMETRICS Perform. Evaluation Rev. 46(3): 56-61 (2018) - [j2]Yorie Nakahira, Yilin Mo:
Attack-Resilient ℋ2, ℋ∩, and ℓ1 State Estimator. IEEE Trans. Autom. Control. 63(12): 4353-4360 (2018) - [c9]Yorie Nakahira, Fangzhou Xiao, Victoria Kostina, John C. Doyle:
Fundamental limits and achievable performance in biomolecular control. ACC 2018: 2707-2714 - [i2]Anatoly Khina, Yorie Nakahira, Yu Su, Hikmet Yildiz, Babak Hassibi:
Algorithms for Optimal Control with Fixed-Rate Feedback. CoRR abs/1809.04917 (2018) - 2017
- [j1]Angelos Aveklouris, Yorie Nakahira, Maria Vlasiou, Bert Zwart:
Electric vehicle charging: a queueing approach. SIGMETRICS Perform. Evaluation Rev. 45(2): 33-35 (2017) - [c8]Anatoly Khina, Yorie Nakahira, Yu Su, Babak Hassibi:
Algorithms for optimal control with fixed-rate feedback. CDC 2017: 6015-6020 - [c7]Yorie Nakahira, Niangjun Chen, Lijun Chen, Steven H. Low:
Smoothed Least-laxity-first Algorithm for EV Charging. e-Energy 2017: 242-251 - [i1]Angelos Aveklouris, Yorie Nakahira, Maria Vlasiou, Bert Zwart:
Electric vehicle charging: a queueing approach. CoRR abs/1712.08747 (2017) - 2016
- [c6]Yorie Nakahira:
LQ vs. ℓ∞ in controller design for systems with delay and quantization. CDC 2016: 2382-2389 - [c5]John Doyle, Yorie Nakahira, Yoke Peng Leong, Emily Jenson, Adam Dai, Dimitar Ho, Nikolai Matni:
Teaching control theory in high school. CDC 2016: 5925-5949 - 2015
- [c4]Yorie Nakahira, Yilin Mo:
Dynamic state estimation in the presence of compromised sensory data. CDC 2015: 5808-5813 - [c3]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: 7522-7529 - 2012
- [c2]Yorie Nakahira, Minoru Nakayama:
Feasibility of Computational Estimation of Task-Oriented Visual Attention. AUIC 2012: 93-94 - [c1]Yorie Nakahira, Minoru Nakayama:
Computational Model for Probability Prediction of Scan Paths in Static Scenes. VISAPP (1) 2012: 427-430
Coauthor Index
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last updated on 2024-10-15 00:24 CEST by the dblp team
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