3 papers
stat.ML2026
Stochastic Flow Map for Count Data
Ganchao Wei
High-dimensional count data are common in scientific applications, but most diffusion and flow models are designed for continuous or categorical data, and generation often requires…
stat.ML2026
Flow Matching for Count Data
Ganchao Wei, John Pearson
High-dimensional count data arise in applications such as single-cell RNA sequencing and neural spike trains, where mappings between distributions across successive batches or time…
stat.ML2024
Stream-level flow matching with Gaussian processes
Ganchao Wei, Li Ma
Flow matching (FM) is a family of training algorithms for fitting continuous normalizing flows (CNFs). Conditional flow matching (CFM) exploits the fact that the marginal vector fi…