Moor et al.
A Stackelberg game framework lets discrete diffusion learn which token corruptions most improve the denoiser
The method, VSDD, trains a forward corruption process to maximize denoiser improvement after learning, not immediate reconstruction.
Industry
Dmitrii Moor · Federico Tomasi · Paul N. Bennett · Alice Wang · Mounia Lalmas
Spotify
Research Digest··2 min read
Discrete diffusion models can revise earlier predictions during generation, but their performance depends on the fixed forward noise process.
Why this paper
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In one line
Learning which token corruptions best train a denoiser improves discrete diffusion generation across molecules, text, and playlists.
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