Rui-Feng Shang

Continuous-Time Trajectory Generation from Discrete Observations with Stochasticity

Physical systems evolve continuously in time, yet their states are typically observed only at discrete times. Generating trajectories consistent with their probability densities from such observations therefore requires capturing the continuous-time evolution rather than only learning transition mappings between consec...