Discrete Diffusion: Continuous-Time Markov Chains
Read OriginalThis technical article introduces continuous-time Markov chains, contrasting them with their discrete-time counterparts. It explains their mathematical properties, memory-less nature, and connection to waiting times, positioning them as key to understanding modern discrete diffusion models in machine learning, referencing recent research.
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