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Luca Blunda

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#machine learning Preprint Oct 2026

Discrete Diffusion Models are Minimax Optimal Under Sparsity

Discrete diffusion models have emerged as a leading alternative to autoregressive models for generating text and other categorical data, yet their theoretical foundations remain less developed than those of their continuous counterparts. For continuous diffusion models, a prominent line of theory suggests that these mo...

Luca Blunda, Tyler Farghly, Umut Simsekli et al. · 0 citations

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