Frank Cole

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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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stat.ML2026

Stability of Measure-to-Measure Transformers on Sub-Gaussian Data

Frank Cole, Nicholas H. Nelsen, Takashi Furuya

Transformers have exhibited impressive empirical success across various domains, but their theoretical foundations remain less developed. This work constitutes a mathematical study…

stat.ML2026

A Theory of Diversity for Random Matrices with Applications to In-Context Learning of Schrödinger Equations

Frank Cole, Yulong Lu, Shaurya Sehgal

We address the following question: given a collection ${A^{(1)}, \dots, A^{(N)}}$ of independent $d \times d$ random matrices drawn from a common distribution $…

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…