AI RESEARCH
Flow Matching for Count Data
arXiv CS.LG
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ArXi:2605.07746v1 Announce Type: cross High-dimensional count data arise in applications such as single-cell RNA sequencing and neural spike trains, where mapping between distributions across successive batches or time points form critical components of data analysis.