Abstract: The fitness landscape of MAX-3-SAT is investigated for random instances above the satisfiability phase transition. This paper includes a scaling analysis of the time to reach a local optimum ...

Abstract: We present DeepSAT, a novel end-to-end learning framework for the Boolean satisfiability (SAT) problem. Unlike existing solutions trained on random SAT instances with relatively weak ...

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For each network in the resulting set, we construct a propositional formula whose satisfiability is necessary for the existence of a sorting network of a given depth. Using an off-the-shelf SAT solver ...

Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits Rethink the Role of Deep Learning towards Large-scale Quantum Systems Unified K-Means Clustering with Label-Guided Manifold ...

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