3 papers
eess.SY2025
Learning clusters of partially observed linear dynamical systems
Maryann Rui, Munther A. Dahleh
We study the problem of learning clusters of partially observed linear dynamical systems from multiple input-output trajectories. This setting is particularly relevant when there a…
eess.SY2024
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
Maryann Rui, Munther Dahleh
We study the problem of learning mixtures of linear dynamical systems (MLDS) from input-output data. The mixture setting allows us to leverage observations from related dynamical s…
cs.LG2023
Estimation of Models with Limited Data by Leveraging Shared Structure
Maryann Rui, Thibaut Horel, Munther Dahleh
Modern data sets, such as those in healthcare and e-commerce, are often derived from many individuals or systems but have insufficient data from each source alone to separately est…