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Effective Pre-Silicon Verification of Processor Cores by Breaking the Bounds of Symbolic Quick Error Detection., , , , , , , , and . CoRR, (2021)QRATPre+: Effective QBF Preprocessing via Strong Redundancy Properties., and . SAT, volume 11628 of Lecture Notes in Computer Science, page 203-210. Springer, (2019)Unlocking the Power of Formal Hardware Verification with CoSA and Symbolic QED: Invited Paper., , , , , , , , and . ICCAD, page 1-8. ACM, (2019)G-QED: Generalized QED Pre-silicon Verification beyond Non-Interfering Hardware Accelerators., , , , , , , , , and 2 other author(s). DAC, page 1-6. IEEE, (2023)A-QED Verification of Hardware Accelerators., , , , , , , , , and 3 other author(s). DAC, page 1-6. IEEE, (2020)Integrating Dependency Schemes in Search-Based QBF Solvers., and . SAT, volume 6175 of Lecture Notes in Computer Science, page 158-171. Springer, (2010)A Compact Representation for Syntactic Dependencies in QBFs., and . SAT, volume 5584 of Lecture Notes in Computer Science, page 398-411. Springer, (2009)Lightweight Online Learning for Sets of Related Problems in Automated Reasoning., , , , , and . FMCAD, page 1-11. IEEE, (2023)DepQBF: A Dependency-Aware QBF Solver., and . J. Satisf. Boolean Model. Comput., 7 (2-3): 71-76 (2010)Two SAT solvers for solving quantified Boolean formulas with an arbitrary number of quantifier alternations., , , , , and . Formal Methods Syst. Des., 57 (2): 157-177 (2021)