Introduces parallelizable, theory-agnostic methods for complete theory-lemma enumeration in SMT that scale better than classic eager encodings on complex instances.
J Artif Intell Res17(1), 229–264 (2002)
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Quokka# is a Python library that converts quantum circuit analysis tasks into #SAT problems, offering multiple encodings, approximate equivalence checking, and depth-optimal synthesis.
The thesis proposes specialized algebraic, logical, and geometric methods to enable scalable reasoning over imprecise attributes, probabilistic triples, and incomplete schemas in knowledge graphs.
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Beyond Eager Encodings: A Theory-Agnostic Approach to Theory-Lemma Enumeration in SMT
Introduces parallelizable, theory-agnostic methods for complete theory-lemma enumeration in SMT that scale better than classic eager encodings on complex instances.
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Quokka#: Quantum Computing with #SAT
Quokka# is a Python library that converts quantum circuit analysis tasks into #SAT problems, offering multiple encodings, approximate equivalence checking, and depth-optimal synthesis.
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Scalable Uncertainty Reasoning in Knowledge Graphs
The thesis proposes specialized algebraic, logical, and geometric methods to enable scalable reasoning over imprecise attributes, probabilistic triples, and incomplete schemas in knowledge graphs.