From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints

Dimitra Maoutsa

How can we learn the laws underlying the dynamics of stochastic systems when their trajectories are sampled sparsely in time? Existing methods either require temporally resolved hi…