Author

Mukur Gupta

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#machine learning Mar 2026

Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisfaction Problems

This paper studies the problem of generating a uniformly random solution of a given (random) $k$-SAT or $k$-XORSAT formula and observes that continuous diffusions and learned diffusions can match the theoretical `ideal' accuracy.

Alankrita Bhatt, Mukur Gupta, Germain Kolossov et al. · arXiv.org · 2 citations