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Shu-Min Yao

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#machine learning Preprint Oct 2026

Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data

Binary diffusion models typically require a large number of function evaluations (NFEs) to generate high-quality samples, making practical inference computationally expensive. Reducing NFEs while preserving sample quality without distillation or additional training remains a significant challenge. Existing binary diffu...

Hao Mo, Liying Yang, Shu-Min Yao et al. · 0 citations

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