AI RESEARCH

Detecting Metastable Basins in High Dimensions via Marginal Trajectory Distribution Discrimination

arXiv CS.LG

ArXi:2605.24136v1 Announce Type: cross We study the problem of identifying dynamically distinct basins of attraction in high dimensional time-homogeneous Marko processes using only trajectory sampling. This problem is fundamental in the analysis of metastable dynamical systems, where the process rapidly mixes within basins while transitions between basins occur rarely on the timescale of interest, or even when the state space is reducible.