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Mulugeta A. Haile
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2020 – today
- 2024
- [c3]Christopher D. Hsu, Mulugeta A. Haile, Pratik Chaudhari:
A Model for Multi-Agent Heterogeneous Interaction Problems. ACC 2024: 4637-4644 - [i16]Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi, Zheng-Meng Zhai
, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai:
Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation. CoRR abs/2402.14877 (2024) - [i15]Zheng-Meng Zhai, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai:
Learning to learn ecosystems from limited data - a meta-learning approach. CoRR abs/2410.07368 (2024) - 2023
- [i14]Zheng-Meng Zhai
Model-free tracking control of complex dynamical trajectories with machine learning. CoRR abs/2309.11470 (2023) - [i13]Zheng-Meng Zhai
Machine-learning parameter tracking with partial state observation. CoRR abs/2311.09142 (2023) - 2022
- [j4]Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang
Implicit particle filtering via a bank of nonlinear Kalman filters. Autom. 145: 110469 (2022) - [j3]Huazhen Fang
Robust Extended Kalman Filtering for Systems With Measurement Outliers. IEEE Trans. Control. Syst. Technol. 30(2): 795-802 (2022) - [i12]Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang:
Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters. CoRR abs/2205.04521 (2022) - [i11]Christopher D. Hsu, Mulugeta A. Haile, Pratik Chaudhari:
A Model for Perimeter-Defense Problems with Heterogeneous Teams. CoRR abs/2208.01430 (2022) - [i10]Ling-Wei Kong, Yang Weng, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai:
Digital twins of nonlinear dynamical systems. CoRR abs/2210.06144 (2022) - 2021
- [i9]Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai:
Adaptable Hamiltonian neural networks. CoRR abs/2102.13235 (2021) - [i8]Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai:
Tomography of time-dependent quantum spin networks with machine learning. CoRR abs/2103.08645 (2021) - [i7]Gregory Barber, Mulugeta A. Haile, Tzikang Chen:
Joint Parameter Discovery and Generative Modeling of Dynamic Systems. CoRR abs/2103.10905 (2021) - [i6]Levi D. McClenny, Mulugeta A. Haile, Ulisses M. Braga-Neto:
TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks. CoRR abs/2103.16034 (2021) - [i5]Gregory Barber, Mulugeta A. Haile, Tzikang Chen:
Physical Constraint Embedded Neural Networks for inference and noise regulation. CoRR abs/2105.09146 (2021) - 2020
- [i4]Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave:
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains. CoRR abs/2006.09310 (2020) - [i3]Hang Geng, Mulugeta A. Haile, Huazhen Fang:
SSUE: Simultaneous State and Uncertainty Estimation for Dynamical Systems. CoRR abs/2010.10606 (2020)
2010 – 2019
- 2019
- [c2]Tao Sun, Ruixin Niu, Mulugeta A. Haile:
Ballistic Trajectory Estimation Using Polynomial Chaos Based Square Root Ensemble Filter. FUSION 2019: 1-7 - [i2]Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robust Extended Kalman Filtering for Systems with Measurement Outliers. CoRR abs/1904.00335 (2019) - 2018
- [j2]Huazhen Fang, Ning Tian
Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon. IEEE CAA J. Autom. Sinica 5(2): 401-417 (2018) - [c1]Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robustifying the Kalman Filter Against Measurement Outliers: An Innovation Saturation Mechanism. CDC 2018: 6390-6395 - 2017
- [i1]Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou, Mulugeta A. Haile:
Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon. CoRR abs/1712.01406 (2017) - 2016
- [j1]Mulugeta A. Haile, Jaret C. Riddick, Abey H. Assefa:
Robust Particle Filters for Fatigue Crack Growth Estimation in Rotorcraft Structures. IEEE Trans. Reliab. 65(3): 1438-1448 (2016)
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