GeoQ: Geometry-Aware conditional quantile error estimation for scientific surrogate models
Read the original at arxiv.org→arXiv:2608.21652v1 Announce Type: new Abstract: Neural-network surrogate models are increasingly used to accelerate scientific simulations, but their deployment in extrapolative and autoregressive settings requires...
Original headline: "GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models"
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- Aug 25, 04:00 UTC arXiv cs.LG lead source GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models