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

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cs.LG2025★ 1 cited

In-Context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-Separation

Frank Cole, Yuxuan Zhao, Yulong Lu +1

This paper investigates approximation-theoretic aspects of the in-context learning capability of the transformers in representing a family of noisy linear dynamical systems. Our fi…