2026
Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
ICML 2026poster
Chaos arises in many complex dynamical systems, from weather to power grids, but is difficult to accurately model using data-driven emulators, including neural operator architectures. For chaotic systems, the inherent sensitivity to initial conditions makes exact long-term forecasts theoretically in…