Author

Gan-Chao Wei

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#machine learning May 2026

Flow Matching for Count Data

This work proposes count-FM, a flow-matching framework for count data based on a continuous-time birth-death process with local unit jumps, which achieves better sample quality than representative baselines while using substantially fewer parameters in simulation.

Gan-Chao Wei, John Pearson · arXiv.org · 3 citations · ⚡1

#machine learning Preprint Sep 2026

Stochastic Flow Map for Count Data

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 many sequential model evaluations. We propose Count Flow Map, a generative model that learns finite-time transitions directly in count spac...

Gan-Chao Wei · 1 citation