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

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

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…