2021
Dynamical Wasserstein Barycenters for Time-series Modeling
NeurIPS 2021poster
Many time series can be modeled as a sequence of segments representing high-level discrete states, such as running and walking in a human activity application. Flexible models should describe the system state and observations in stationary ``pure-state'' periods as well as transition periods between…