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Tighter Abstract Queries in Neural Network Verification.

, , , and . LPAR, volume 94 of EPiC Series in Computing, page 124-143. EasyChair, (2023)

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Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks., , , , and . CAV (1), volume 10426 of Lecture Notes in Computer Science, page 97-117. Springer, (2017)Efficient Distributed Execution of Multi-component Scenario-Based Models., , , , , and . MODELSWARD (Revised Selected Papers), volume 880 of Communications in Computer and Information Science, page 449-483. Springer, (2017)Toward Scalable Verification for Safety-Critical Deep Networks., , , , , and . CoRR, (2018)On composing and proving the correctness of reactive behavior., , , , , and . EMSOFT, page 13:1-13:10. IEEE, (2013)On the Succinctness of Idioms for Concurrent Programming., , , , and . CONCUR, volume 42 of LIPIcs, page 85-99. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2015)Non-intrusive Repair of Reactive Programs., , , and . ICECCS, page 3-12. IEEE Computer Society, (2012)The Effect of Concurrent Programming Idioms on Verification - A Position Paper., , , and . MODELSWARD, page 363-369. SciTePress, (2015)Recommenders benchmark framework., , , , , , , and . RecSys, page 353-354. ACM, (2011)Scaling-Up Behavioral Programming: Steps from Basic Principles to Application Architectures., and . AGERE!@SPLASH, page 95-108. ACM, (2014)Verifying learning-augmented systems., , , and . SIGCOMM, page 305-318. ACM, (2021)