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−logP(s) =−logP(x) = 1/2 Z ∞ 0 dtE z(t)|x[∥x− ˆx(z)∥2] Probability relates to MMSE, for any one-to-one embedding (Guo et al · 2005

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cs.LG 1

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2026 1

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Discrete Stochastic Localization for Non-autoregressive Generation

cs.LG · 2026-02-18 · unverdicted · novelty 7.0

Discrete Stochastic Localization lets a single trained network support an entire family of per-token SNR paths for discrete sequence generation, with masked diffusion as a special case, and improves MAUVE scores when fine-tuning pretrained checkpoints.

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  • Discrete Stochastic Localization for Non-autoregressive Generation cs.LG · 2026-02-18 · unverdicted · none · ref 20

    Discrete Stochastic Localization lets a single trained network support an entire family of per-token SNR paths for discrete sequence generation, with masked diffusion as a special case, and improves MAUVE scores when fine-tuning pretrained checkpoints.