Enforcing sparse structure within learning has led to significant advances in the field of data-driven discovery dynamical systems. However, such methods require access not only timeseries state system, but also time derivative. In many applications, data are available form time-averages as moments and autocorrelation functions. We propose a methodology discover vector fields defining (possibly...
