Censored Flow Matching for Synthetic Time-to-Event Generation
arXiv:2610.24233v1 Announce Type: new Abstract: Generating time-to-event data is increasingly important in survival analysis, but it remains statistically challenging because event times are often censored and thus prevent flexible generative modeling. To fill this gap, we propose a novel method ca…
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- 2026-10-20 04:00 · arXiv stat.ML
Censored Flow Matching for Synthetic Time-to-Event Generation