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Overview over the iterative refinement model, IN+. The model features the IN encoder and a diffusion decoder, which iterates over sequence predictions in a series of timesteps, denoising and refining predictions using a multinomial probability distribution for discrete sequence prediction. t is the denoising timestep, x t is the noised sequence at timestep t , x 0 is the denoised sequence where t = 0. p is the posterior distribution over x t 1 given x t .

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