Interpretable epistemic uncertainty decomposition in sequential generative models via polynomial chaos surrogates

Ramón Nartallo-Kaluarachchi, Shashanka Ubaru, Małgorzata J Zimoń +4

Sequential generative models conditioned on uncertain rewards are central to AI-driven scientific discovery, yet the epistemic uncertainty they inherit from imperfect reward estima…