Meeko Oishi
University of New Mexico
H-index: 28
North America-United States
Top articles of Meeko Oishi
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Classification of Human Learning Stages via Kernel Distribution Embeddings | IEEE Open Journal of Control Systems | Madeleine S Yuh Kendric R Ortiz Kylie Sommer-Kohrt Meeko Oishi Neera Jain | 2024/1/1 |
Blamelessly Optimal Control For Polytopic Safety Sets | arXiv preprint arXiv:2304.06625 | Natalia Pavlasek Sarah HQ Li Behçet Açıkmeşe Meeko Oishi Claus Danielson | 2023/4/13 |
Chance constrained stochastic optimal control for linear systems with a time varying random control matrix | Shawn Priore Ali Bidram Meeko Oishi | 2023/5/31 | |
Stochastic Reachability of Discrete-Time Stochastic Systems via Probability Measures | arXiv preprint arXiv:2304.00598 | Karthik Sivaramakrishnan Vignesh Sivaramakrishnan Meeko MK Oishi | 2023/4/2 |
Efficient Estimation of the Human Circadian Phase via Kalman Filtering | Chukwuemeka O Ike John T Wen Meeko MK Oishi Lee K Brown A Agung Julius | 2023/7/24 | |
Chance constrained stochastic optimal control based on sample statistics with almost surely probabilistic guarantees | arXiv preprint arXiv:2303.16981 | Shawn Priore Meeko Oishi | 2023/3/29 |
Convexified Open-Loop Stochastic Optimal Control for Linear Systems with Log-Concave Disturbances | IEEE Transactions on Automatic Control | Vignesh Sivaramakrishnan Abraham P Vinod Meeko MK Oishi | 2023/6/9 |
Physics-informed kernel embeddings: Integrating prior system knowledge with data-driven control | arXiv preprint arXiv:2301.03565 | Adam J Thorpe Cyrus Neary Franck Djeumou Meeko MK Oishi Ufuk Topcu | 2023/1/9 |
Probabilistic verification of ReLU neural networks via characteristic functions | Joshua Pilipovsky Vignesh Sivaramakrishnan Meeko Oishi Panagiotis Tsiotras | 2023/6/6 | |
Introduction to the Special Section on Selected Papers from ICCPS 2021 | Mohammad Al Faruque Meeko Mitsuko Oishi | 2023/1/6 | |
Data-driven stochastic optimal control using kernel gradients | Adam J Thorpe Jake A Gonzales Meeko MK Oishi | 2023/5/31 | |
Stochastic Optimal Control For Gaussian Disturbances with Unknown Mean and Variance Based on Sample Statistics | Shawn Priore Meeko Oishi | 2023/12/13 | |
Advanced Quantitative Approaches to Unveil Social Inequities in Educational Contexts | Manuel J Jiménez Vanessa Svihla Karl Benedict Victor Law Meeko Oishi | 2023 | |
SOCKS: A stochastic optimal control and reachability toolbox using kernel methods | Adam Thorpe Meeko Oishi | 2022/5/4 | |
Fast tuning of observer-based circadian phase estimator using biometric data | Heliyon | Chukwuemeka O Ike John T Wen Meeko MK Oishi Lee K Brown A Agung Julius | 2022/12/1 |
State-based confidence bounds for data-driven stochastic reachability using Hilbert space embeddings | Automatica | Adam J Thorpe Kendric R Ortiz Meeko MK Oishi | 2022/4/1 |
Approximate Stochastic Optimal Control for Linear Time Invariant Systems with Heavy-tailed Disturbances | arXiv preprint arXiv:2210.09479 | Shawn Priore Christopher Petersen Meeko Oishi | 2022/10/17 |
Characterizing Within-Driver Variability in Driving Dynamics During Obstacle Avoidance Maneuvers | IFAC-PapersOnLine | Kendric R Ortiz Adam J Thorpe AnaMaria Perez Maya Luster Brandon J Pitts | 2022/1/1 |
Distribution steering for discrete-time linear systems with general disturbances using characteristic functions | Vignesh Sivaramakrishnan Joshua Pilipovsky Meeko Oishi Panagiotis Tsiotras | 2022/6/8 | |
Approximate quantiles for stochastic optimal control of LTI systems with arbitrary disturbances | Shawn Priore Christopher Petersen Meeko Oishi | 2022/6/8 |
Co-Authors
