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Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models
Uniform-noise discrete diffusion and flow models generate sequences non-autoregressively through iterative, context-dependent token replacements. However, these models are typically formulated as time-inhomogeneous continuous- or discrete-time Markov chains (CTMC/DTMC), sampled using independent Ber
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