Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
arXiv:2604.21097v1 Announce Type: new
Abstract: 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…