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A Framework for Cooperating Decision Procedures., , и . CADE, том 1831 из Lecture Notes in Computer Science, стр. 79-98. Springer, (2000)Solving Quantified Verification Conditions Using Satisfiability Modulo Theories., , и . CADE, том 4603 из Lecture Notes in Computer Science, стр. 167-182. Springer, (2007)Gap-free Processor Verification by S2QED and Property Generation., , , , , , , и . DATE, стр. 526-531. IEEE, (2020)Politeness for the Theory of Algebraic Datatypes., , , , , и . IJCAR (1), том 12166 из Lecture Notes in Computer Science, стр. 238-255. Springer, (2020)Witness Runs for Counter Machines., , и . FroCos, том 8152 из Lecture Notes in Computer Science, стр. 120-150. Springer, (2013)Towards Proving the Adversarial Robustness of Deep Neural Networks., , , , и . FVAV@iFM, том 257 из EPTCS, стр. 19-26. (2017)Reluplex: a calculus for reasoning about deep neural networks., , , , и . Formal Methods Syst. Des., 60 (1): 87-116 (февраля 2022)Synthesising Programs with Non-trivial Constants., , , , , , , , и . J. Autom. Reason., 67 (2): 19 (июня 2023)Algorithms for Verifying Deep Neural Networks., , , , , и . Found. Trends Optim., 4 (3-4): 244-404 (2021)H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models., , , , , , , , , и 2 other автор(ы). CoRR, (2023)