Mulugeta A. Haile

According to our database, Mulugeta A. Haile authored at least 19 papers between 2016 and 2024.

Collaborative distances:

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

2024

Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation.

Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi, Zheng-Meng Zhai, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2024

2023

Machine-learning parameter tracking with partial state observation.

Zheng-Meng Zhai, Mohammadamin Moradi, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2023

Model-free tracking control of complex dynamical trajectories with machine learning.

Zheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2023

2022

Robust Extended Kalman Filtering for Systems With Measurement Outliers.

Huazhen Fang, Mulugeta A. Haile, Yebin Wang

IEEE Trans. Control. Syst. Technol., 2022

Digital twins of nonlinear dynamical systems.

Ling-Wei Kong, Yang Weng, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2022

A Model for Perimeter-Defense Problems with Heterogeneous Teams.

Christopher D. Hsu, Mulugeta A. Haile, Pratik Chaudhari

CoRR, 2022

Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters.

Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang

CoRR, 2022

Implicit particle filtering <i>via</i> a bank of nonlinear Kalman filters.

Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang

Autom., 2022

2021

Physical Constraint Embedded Neural Networks for inference and noise regulation.

Gregory Barber, Mulugeta A. Haile, Tzikang Chen

CoRR, 2021

TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks.

Levi D. McClenny, Mulugeta A. Haile, Ulisses M. Braga-Neto

CoRR, 2021

Joint Parameter Discovery and Generative Modeling of Dynamic Systems.

Gregory Barber, Mulugeta A. Haile, Tzikang Chen

CoRR, 2021

Tomography of time-dependent quantum spin networks with machine learning.

Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2021

Adaptable Hamiltonian neural networks.

Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2021

2020

SSUE: Simultaneous State and Uncertainty Estimation for Dynamical Systems.

Hang Geng, Mulugeta A. Haile, Huazhen Fang

CoRR, 2020

Deep Multimodal Transfer-Learned Regression in Data-Poor Domains.

Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave

CoRR, 2020

2019

Ballistic Trajectory Estimation Using Polynomial Chaos Based Square Root Ensemble Filter.

Tao Sun, Ruixin Niu, Mulugeta A. Haile

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon.

Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou, Mulugeta A. Haile

IEEE CAA J. Autom. Sinica, 2018

Robustifying the Kalman Filter Against Measurement Outliers: An Innovation Saturation Mechanism.

Huazhen Fang, Mulugeta A. Haile, Yebin Wang

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016

Robust Particle Filters for Fatigue Crack Growth Estimation in Rotorcraft Structures.

Mulugeta A. Haile, Jaret C. Riddick, Abey H. Assefa

IEEE Trans. Reliab., 2016