Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End
SnapMMD:超越薛定谔桥观测终点的随机动态预测
Scientists often want to make predictions beyond the observed time horizon of "snapshot" data following latent stochastic dynamics. For example, in time course single-cell mRNA profiling, scientists have access to cellular transcriptional state measurements (snapshots) from different biological replicates at different time points, but they cannot access the trajectory of any one cell because measurement destroys the cell. Researchers want to forecast (e.g.) differentiation…