Guided Discrete Diffusion for Constraint Satisfaction Problems
Justin Jung

TL;DR
This paper introduces a discrete diffusion guidance method for solving constraint satisfaction problems, specifically demonstrating its effectiveness on Sudoku puzzles without requiring supervised training.
Contribution
It presents a novel discrete diffusion guidance approach tailored for CSPs, enabling unsupervised solving of Sudoku puzzles.
Findings
Successfully solves Sudoku puzzles without supervision
Demonstrates effectiveness of discrete diffusion guidance for CSPs
Provides a new approach for unsupervised problem solving
Abstract
We propose discrete diffusion guidance for constraint satisfaction problems (CSPs) and demonstrate its ability to solve Sudoku puzzles without supervision.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topicsgraph theory and CDMA systems · Constraint Satisfaction and Optimization · Optimization and Packing Problems
