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Decrypting Ciphers Using Markov Chain Monte Carlo
Combining Markov chains and Monte Carlo estimation to crack a substitution cipher — from bigram statistics to the Metropolis algorithm
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Introduction to Flow Matching with Robotics
Learning to generate collision-free robot configurations by transporting noise to data — from the math behind flow matching to a working implementation on a 2-link arm
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Introduction to Sampling Algorithms
From a uniform random number generator to inverse transform sampling, rejection sampling, and importance sampling — building intuition for how computers draw samples from arbitrary distributions
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The Multi-Armed Bandit Problem
A visual walkthrough of exploration vs exploitation — from YouTube thumbnails to the algorithms behind smart experimentation
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Langevin Sampling for Diffusion Models
An overview of Langevin Sampling for Diffusion Models