Manifold Learning with Contracting Observers for Data-driven Time-series Analysis

Tal Shnitzer, Ronen Talmon, Jean-Jacques Slotine

Analyzing signals arising from dynamical systems typically requires many modeling assumptions and parameter estimation. In high dimensions, this modeling is particularly difficult…