Ferenc Huszár • 5/22/2025

Discrete Diffusion: Continuous-Time Markov Chains

Read Original

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.

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

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes