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Author

Aran Raoufi

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Jul 2026

What Does a Discrete Diffusion Model Learn?

This framework identifies which law each loss in the literature actually optimizes, recovering MDM, UDM, SEDD, and GIDD as special cases; explains why denoiser and cavity coincide for masked diffusion but not for uniform diffusion; proves that a denoiser parameterization makes the uniform ELBO diverge at initialization...

Rodrigo Casado Noguerales, B. Schölkopf, Thomas Hofmann et al. · 1 citation

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