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Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
BloGDiT replaces joint Gaussian denoising with blocked Gaussian diffusion using iterative block resampling and annealed block sizes to enable targeted edits for constraint optimization, matching or outperforming prior methods on Sudoku, graph coloring, MIS, and MaxCut.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5