Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training

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Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training

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"A novel data sampling method for neural simulators that improves rollout accuracy by intelligently selecting training data based on model gradients and temporal coverage."

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