arXiv stat.ML
· Papers
Trajectory inference via Acceleration Matching
arXiv:2608.03916v1 Announce Type: cross Abstract: Trajectory inference is a fundamental problem in many scientific domains: given a collection of unpaired snapshots of observations at discrete time points, the goal is to generate smooth trajectories that best resemble and interpolate the data. Existing algorithms exhib