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Reluplex: a calculus for reasoning about deep neural networks., , , , and . Formal Methods Syst. Des., 60 (1): 87-116 (February 2022)H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models., , , , , , , , , and 2 other author(s). CoRR, (2023)Gap-free Processor Verification by S2QED and Property Generation., , , , , , , and . DATE, page 526-531. IEEE, (2020)Politeness for the Theory of Algebraic Datatypes., , , , , and . IJCAR (1), volume 12166 of Lecture Notes in Computer Science, page 238-255. Springer, (2020)CVC4 at the SMT Competition 2018., , , , , , , , , and 1 other author(s). CoRR, (2018)Synthesising Programs with Non-trivial Constants., , , , , , , , and . J. Autom. Reason., 67 (2): 19 (June 2023)Algorithms for Verifying Deep Neural Networks., , , , , and . Found. Trends Optim., 4 (3-4): 244-404 (2021)Constraint solving for finite model finding in SMT solvers., , and . Theory Pract. Log. Program., 17 (4): 516-558 (2017)Satisfiability Modulo Theories., and . Handbook of Model Checking, Springer, (2018)Solving Quantified Verification Conditions Using Satisfiability Modulo Theories., , and . CADE, volume 4603 of Lecture Notes in Computer Science, page 167-182. Springer, (2007)