Measure-valued trajectory reconstruction on Synthetic dataset
0.021Mean W2Active Wasserstein Trajectory Learning
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Active Wasserstein Trajectory LearningNumber of obs. snapshots=222026.05 | 0.021 | 0.023 | |
| Active Wasserstein Trajectory LearningNumber of obs. snapshots=122026.05 | 0.031 | 0.038 | |
| Active Wasserstein Trajectory LearningNumber of obs. snapshots=22026.05 | 0.906 | 0.924 | |
| MMFMNumber of obs. snapshots=22026.05 | 0.913 | 0.951 | |
| MMFMNumber of obs. snapshots=222026.05 | 1.381 | 1.382 | |
| MMFMNumber of obs. snapshots=122026.05 | 1.746 | 1.669 |