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stat.ME2026
Conformal prediction for full and sparse polynomial chaos expansions
A. Hatstatt, X. Zhu, B. Sudret
Polynomial Chaos Expansions (PCEs) are widely recognized for their efficient computational performance in surrogate modeling. Yet, a robust framework to quantify local model errors…
stat.ME2025
AL-SPCE -- Reliability analysis for nondeterministic models using stochastic polynomial chaos expansions and active learning
A. Pires, M. Moustapha, S. Marelli +1
Reliability analysis typically relies on deterministic simulators, which yield repeatable outputs for identical inputs. However, many real-world systems display intrinsic randomnes…