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20242026
most citedScore-based generative models are provably robust: an uncertainty quantification perspective

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Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations

Benjamin J. Zhang, Siting Liu, Stanley J. Osher +1

In-context operator networks (ICON) are a class of operator learning methods based on the novel architectures of foundation models. Trained on a diverse set of datasets of initial…