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cs.LG2025
Machine Learning Algorithms for Improving Black Box Optimization Solvers
Morteza Kimiaei, Vyacheslav Kungurtsev
Black-box optimization (BBO) addresses problems where objectives are accessible only through costly queries without gradients or explicit structure. Classical derivative-free metho…
cs.LG2025★ 1 cited
Binarizing Physics-Inspired GNNs for Combinatorial Optimization
Martin Krutský, Gustav Šír, Vyacheslav Kungurtsev +1
Physics-inspired graph neural networks (PI-GNNs) have been utilized as an efficient unsupervised framework for relaxing combinatorial optimization problems encoded through a specif…