How Information Shapes Koopman Representations for World Modeling
The paper revisits Koopman representation learning through the lens of the information bottleneck, identifies the exact information needed for stable, long‑term dynamics propagation, proposes an information‑shaped objective combining mutual information and von Neumann entropy, and demonstrates superior prediction accuracy and stability across physical, visual, and graph‑based dynamical systems.
