We propose a novel joint Velocity-Growth Flow Matching (VGFM) approach, driven by semi-relaxed optimal transport, for single-cell dynamics modeling.

This work introduces a fast and efficient method for epistemic uncertainty in ensemble models for regression. Our method significantly improves baseline active learning methods on high-dimensional tasks.