基本信息
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职业迁徙
个人简介
Research Interests
Knowledge-informed ML. Effective integration of domain-specific prior knowledge / inductive bias into statistical machine learning.
Data-driven analysis of dynamical systems. Analysis of dynamical systems and time-series data based on the operator-theoretic view and its data-driven method, such as dynamic mode decomposition (DMD).
Anomaly detection. Application of anomaly detection techniques based on machine learning to engineering systems, such as artificial satellites, vehicles, and power plants. Methodology for explanation of anomaly detection.
Visual SLAM in space. Simultaneous estimation of the shape and motion of a target celestial body (e.g., asteroid) as well as the position and attitude of a spacecraft.
Knowledge-informed ML. Effective integration of domain-specific prior knowledge / inductive bias into statistical machine learning.
Data-driven analysis of dynamical systems. Analysis of dynamical systems and time-series data based on the operator-theoretic view and its data-driven method, such as dynamic mode decomposition (DMD).
Anomaly detection. Application of anomaly detection techniques based on machine learning to engineering systems, such as artificial satellites, vehicles, and power plants. Methodology for explanation of anomaly detection.
Visual SLAM in space. Simultaneous estimation of the shape and motion of a target celestial body (e.g., asteroid) as well as the position and attitude of a spacecraft.
研究兴趣
论文共 47 篇作者统计合作学者相似作者
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NEURAL NETWORKS (2024): 40-52
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 99 (2024): 1-15
arXiv (Cornell University) (2023)
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