Transformer-Based Masked Diffusion Models Provably Learn Distributions with Latent Structure
arXiv:2610.12544v1 Announce Type: new Abstract: Masked diffusion models (MDMs) generate discrete data by iteratively unmasking multiple tokens in parallel using a learned mask predictor. Their output carries two errors: parallelization error due to parallel sampling, and estimation error from the m…
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- 2026-10-12 04:00 · arXiv cs.LG
Transformer-Based Masked Diffusion Models Provably Learn Distributions with Latent Structure