Transformer-based masked diffusion models provably learn distributions with latent structure
Read the original at arxiv.org→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...
Original headline: "Transformer-Based Masked Diffusion Models Provably Learn Distributions with Latent Structure"
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- Oct 12, 04:00 UTC arXiv cs.LG lead source Transformer-Based Masked Diffusion Models Provably Learn Distributions with Latent Structure