AI RESEARCH
Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training
arXiv CS.AI
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ArXi:2603.18237v1 Announce Type: cross Researchers train neural simulators on uniformly sampled numerical simulation data. But under the same budget, does systematically sampled data provide the most effective information? A fundamental yet unformalized problem is how to sample