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Paper

Is Zero-Shot Super-Resolution Possible in Operator Learning?

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AI summary

arXiv:2606. 00296v1 Announce Type: new Abstract: Neural operators are often reported to exhibit zero-shot super-resolution, a phenomenon in which a model trained on coarse grids produces accurate predictions on finer testing grids without additional retraining.