Simplex Diffusion Models
Diffusion models have revolutionized generative modeling for continuous data through the gradual refinement of a belief state. This iterative refinement has not yet carried over to discrete diffusion models, which discard uncertainty at intermediate steps through categorical sampling (information collapse). We propose...
Justin Deschenaux, Alexandre Galashov, Andrew Campbell et al.
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