4 papers
Interventional Flow Matching: Prospective Dose-Response Forecasting with Velocity-Field Jacobian Regularization
Amirreza Dolatpour Fathkouhi, Justin Lee, Heman Shakeri
Predicting a patient's physiological trajectory under a planned treatment sequence is a prospective interventional problem, not standard time-series extrapolation. We study this pr…
Online Partitioned Local Depth for semi-supervised applications
John D. Foley, Justin T. Lee
We introduce an extension of the partitioned local depth (PaLD) algorithm that is adapted to online applications such as semi-supervised prediction. PaLD is best known for unsuperv…
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee, Behnaz Moradijamei, Heman Shakeri
Modeling the evolution of high-dimensional systems from limited snapshot observations at irregular time points poses a significant challenge in quantitative biology and related fie…
A Dimension-Reduced Multivariate Spatial Model for Extreme Events: Balancing Flexibility and Scalability
Remy MacDonald, Benjamin Seiyon Lee, John Foley +1
Modeling extreme precipitation and temperature is vital for understanding the impacts of climate change, as hazards like intense rainfall and record-breaking temperatures can resul…