Author

Saptarshi Chakraborty

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#machine learning Preprint Oct 2026

Uniform Discrete Diffusion Models are Minimax Optimal for Estimating Distributions with Small Effective Support Size

Discrete diffusion models have emerged as a practically successful framework for generative modeling on discrete product spaces, yet their statistical generalization properties remain poorly understood. Discrete real-world data such as text or biological sequences often concentrate on a small fraction of the astronomic...

D.-H. Yoon, Saptarshi Chakraborty · 0 citations

#artificial intelligence Preprint Oct 2026

Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional Data

Despite the remarkable empirical success of flow-matching models, their statistical generalization guarantees remain underdeveloped. Existing analyses often impose restrictive assumptions on the estimated velocity field and yield convergence rates that fail to reflect the intrinsic low-dimensional structure common in r...

Saptarshi Chakraborty, Quentin Berthet, Peter L. Bartlett · 6 citations · ⚡1