2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
ICML 2024poster
Learning dynamics from dissipative chaotic systems is notoriously difficult due to their inherent instability, as formalized by their positive Lyapunov exponents, which exponentially amplify errors in the learned dynamics. However, many of these systems exhibit ergodicity and an attractor: a compact…