A transformer with axial mean-max-min attention and a unitary-regularized forward operator generates long-term statistics of high-resolution chaotic flows more accurately than current baselines.
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Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction
A transformer with axial mean-max-min attention and a unitary-regularized forward operator generates long-term statistics of high-resolution chaotic flows more accurately than current baselines.