most citedUncertainty Quantification of Surrogate Models using Conformal Prediction

6 citations

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cs.AI2026

Identifying two piecewise linear additive value functions from anonymous preference information

Vincent Auriau, Khaled Belahcene, Emmanuel Malherbe +2

Eliciting a preference model involves asking a person, named decision-maker, a series of questions. We assume that these preferences can be represented by an additive value functio…

cs.AI2026★ 6 cited

Uncertainty Quantification of Surrogate Models using Conformal Prediction

Vignesh Gopakumar, Ander Gray, Joel Oskarsson +5

Data-driven surrogate models offer quick approximations to complex numerical and experimental systems but typically lack uncertainty quantification, limiting their reliability in s…