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math.DS2023★ 1 cited
Online data-driven changepoint detection for high-dimensional dynamical systems
Sen Lin, Gianmarco Mengaldo, Romit Maulik
The detection of anomalies or transitions in complex dynamical systems is of critical importance to various applications. In this study, we propose the use of machine learning to d…
math.DS2021
Efficient high-dimensional variational data assimilation with machine-learned reduced-order models
Romit Maulik, Vishwas Rao, Jiali Wang +6
Data assimilation (DA) in the geophysical sciences remains the cornerstone of robust forecasts from numerical models. Indeed, DA plays a crucial role in the quality of numerical we…