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paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

Score Entropy Discrete Diffusion (SEDD) parameterizes discrete reverse processes with unconstrained positive score ratios. While positivity guarantees nonnegative reverse jump rates, it does not ensure Bayes realizability: ratios at a noisy state need not be jointly induced by any clean-token posterior under the forward kernel. The score-entropy loss has the correct population optimum but does not enforce this constraint away from it. In a trained pure-uniform SEDD checkpoint, roughly one quarter of complete score vectors violate the coordinate box, while more than half lie inside it yet remai

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  • FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-xl-base-1.0

    Fuzzy title match (0.73): “Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers f” ≈ “stabilityai/stable-diffusion-xl-base-1.0”

  • FuzzySimilar title/name (fuzzy) · 59%CompVis/stable-diffusion-v1-4

    Fuzzy title match (0.73): “Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers f” ≈ “CompVis/stable-diffusion-v1-4”

  • FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-3.5-large

    Fuzzy title match (0.73): “Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers f” ≈ “stabilityai/stable-diffusion-3.5-large”

  • LinkedLinked via arxiv author · 85%Jingyuan Li

    Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

  • LinkedLinked via arxiv author · 85%Xiaoyi Jiang

    Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

  • LinkedLinked via arxiv author · 85%Yixuan Jiang

    Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

  • LinkedLinked via arxiv author · 85%Shiwei Liu

    Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

  • LinkedLinked via arxiv author · 85%Xinyi Zhu

    Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

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