Given two probability densities on related data spaces, we seek a map pu...
In this work, we propose a novel generative model for mapping inputs to
...
In many scientific applications, measured time series are corrupted by n...
Constructing probability densities for inference in high-dimensional spe...
Because LFPs arise from multiple sources in different spatial locations,...
Angular measurements are often modeled as circular random variables, whe...