AI RESEARCH
CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots
arXiv CS.LG
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ArXi:2505.17354v3 Announce Type: replace In many real-world settings--e.g., single-cell RNA sequencing, mobility sensing, and environmental monitoring--data are observed only as temporally aggregated snapshots collected over finite time windows, often with noisy or uncertain, and without access to continuous trajectories. We study the problem of estimating continuous-time dynamics from such snapshots.