Learning to Emulate Chaos: Adversarial Optimal Transport Regularization

Gabriel Melo, Leonardo Santiago, Peter Y. Lu

Chaos arises in many complex dynamical systems, from weather to power grids, but is difficult to accurately model with data-driven methods such as machine learning emulators. While…