Ferenc Huszár • 5/22/2025

Discrete Diffusion: Continuous-Time Markov Chains

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This 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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#Machine Learning #Diffusion Models #Markov Chains
Discrete Diffusion: Continuous-Time Markov Chains

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