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Masaaki Imaizumi

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#machine learning Oct 2025

Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion

This paper theoretically analyzes the MaskGIT sampler for image modeling, revealing its implicit temperature sampling mechanism, and shows that MaskGIT is asymptotically equivalent to a choose-then-sample (CTS) formulation, instantiated as the "moment sampler," which explicitly separates index selection from token samp...

Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi et al. · 10 citations · ⚡1

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