150 citations · 210 across the 3 of their papers we have counts for
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Machine Learning for Quantifier Selection in cvc5
Jan Jakubův, Mikoláš Janota, Jelle Piepenbrock +1
In this work we considerably improve the state-of-the-art SMT solving on first-order quantified problems by efficient machine learning guidance of quantifier selection. Quantifiers…
Quantifier Instantiations: To Mimic or To Revolt?
Jan Jakubův, Mikoláš Janota
Quantified formulas pose a significant challenge for Satisfiability Modulo Theories (SMT) solvers due to their inherent undecidability. Existing instantiation techniques, such as e…
Solving Hard Mizar Problems with Instantiation and Strategy Invention
Jan Jakubův, Mikoláš Janota, Josef Urban
In this work, we prove over 3000 previously ATP-unproved Mizar/MPTP problems by using several ATP and AI methods, raising the number of ATP-solved Mizar problems from 75\% to above…