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20242026
most citedScore-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions

1 citations · 2 across the 5 of their papers we have counts for

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cs.LG2024

In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

Frank Cole, Yulong Lu, Wuzhe Xu +1

We study theoretical guarantees for solving linear systems in-context using a linear transformer architecture. For in-domain generalization, we provide neural scaling laws that bou…

stat.ML2024★ 1 cited

Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions

Frank Cole, Yulong Lu

While score-based generative models (SGMs) have achieved remarkable success in enormous image generation tasks, their mathematical foundations are still limited. In this paper, we…