Adversarial optimal transport objectives train neural emulators with improved long-term statistical fidelity on chaotic systems.
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Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
Adversarial optimal transport objectives train neural emulators with improved long-term statistical fidelity on chaotic systems.