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Hy23333
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High-resolution_ergodic_chaos_data

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turbulence
Chaos
Vorticity
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  license: apache-2.0
 
 
 
 
 
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  We present the dataset accompanying the ICML 2025 paper “Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction.” In this work, we proposed a novel architecture of attention for spatial correlation in modelling high-dimensional chaotic systems, with a focus on achieving faithful long-time statistical behaviour.
 
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  license: apache-2.0
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+ - turbulence
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+ - Chaos
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+ - Vorticity
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  We present the dataset accompanying the ICML 2025 paper “Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction.” In this work, we proposed a novel architecture of attention for spatial correlation in modelling high-dimensional chaotic systems, with a focus on achieving faithful long-time statistical behaviour.