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constraint solving 1continuous algebraic systems 1diffusion models 1evaluation methodology 1graph neural networks 1random multi-start 1

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cs.LG2026

When Do Learned Diffusion Proposals Help Constraint Solving? A Controlled Study on Continuous Algebraic Systems

Quang Bui, Sparsh Roy, Akash Gundimeda +1

The paper studies when graph‑neural diffusion proposals improve solving continuous algebraic constraint systems, comparing learned proposals to random multi‑start baselines and ide…