Mulugeta A. Haile

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Bayesian Estimation

Dynamic Systems

Machine Learning

Top Venues

IEEE Trans. Reliab.

IEEE Trans. Control. Syst. Technol.

Publications

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 (2024)
Zheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai
Model-free tracking control of complex dynamical trajectories with machine learning. CoRR (2023)
Zheng-Meng Zhai, Mohammadamin Moradi, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai
Machine-learning parameter tracking with partial state observation. CoRR (2023)
Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang
Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters. CoRR (2022)
Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang
a bank of nonlinear Kalman filters. Autom. 145 (2022)
Christopher D. Hsu, Mulugeta A. Haile, Pratik Chaudhari
A Model for Perimeter-Defense Problems with Heterogeneous Teams. CoRR (2022)
Huazhen Fang, Mulugeta A. Haile, Yebin Wang
Robust Extended Kalman Filtering for Systems With Measurement Outliers. IEEE Trans. Control. Syst. Technol. 30 (2) (2022)
Ling-Wei Kong, Yang Weng, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai
Digital twins of nonlinear dynamical systems. CoRR (2022)
Gregory Barber, Mulugeta A. Haile, Tzikang Chen
Physical Constraint Embedded Neural Networks for inference and noise regulation. CoRR (2021)
Levi D. McClenny, Mulugeta A. Haile, Ulisses M. Braga-Neto
TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks. CoRR (2021)
Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai
Adaptable Hamiltonian neural networks. CoRR (2021)
Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai
Tomography of time-dependent quantum spin networks with machine learning. CoRR (2021)
Gregory Barber, Mulugeta A. Haile, Tzikang Chen
Joint Parameter Discovery and Generative Modeling of Dynamic Systems. CoRR (2021)
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 (2020)
Hang Geng, Mulugeta A. Haile, Huazhen Fang
SSUE: Simultaneous State and Uncertainty Estimation for Dynamical Systems. CoRR (2020)
Huazhen Fang, Mulugeta A. Haile, Yebin Wang
Robust Extended Kalman Filtering for Systems with Measurement Outliers. CoRR (2019)
Tao Sun, Ruixin Niu, Mulugeta A. Haile
Ballistic Trajectory Estimation Using Polynomial Chaos Based Square Root Ensemble Filter. FUSION (2019)
Huazhen Fang, Mulugeta A. Haile, Yebin Wang
Robustifying the Kalman Filter Against Measurement Outliers: An Innovation Saturation Mechanism. CDC (2018)
Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou, Mulugeta A. Haile
Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon. IEEE CAA J. Autom. Sinica 5 (2) (2018)
Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou, Mulugeta A. Haile
Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon. CoRR (2017)
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) (2016)