3 papers
stat.ML2024
Liouville Flow Importance Sampler
Yifeng Tian, Nishant Panda, Yen Ting Lin
We present the Liouville Flow Importance Sampler (LFIS), an innovative flow-based model for generating samples from unnormalized density functions. LFIS learns a time-dependent vel…
stat.ME2024
Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
Alexander C. Murph, G. Casey Gibson, Lauren J. Beesley +4
Infectious disease modeling and forecasting have played a key role in helping assess and respond to epidemics and pandemics. Recent work has leveraged data on disease peak infectio…
cs.LG2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
Nishant Panda, Natalie Klein, Dominic Yang +2
Given two probability densities on related data spaces, we seek a map pushing one density to the other while satisfying application-dependent constraints. For maps to have utility…