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Output Reachable Set Estimation and Verification for Multilayer Neural Networks.

, , and . IEEE Trans. Neural Networks Learn. Syst., 29 (11): 5777-5783 (2018)

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Improved Geometric Path Enumeration for Verifying ReLU Neural Networks., , , and . CAV (1), volume 12224 of Lecture Notes in Computer Science, page 66-96. Springer, (2020)Neural Network Compression of ACAS Xu is Unsafe: Closed-Loop Verification through Quantized State Backreachability., and . CoRR, (2022)Verification of Recurrent Neural Networks with Star Reachability., , , , , and . HSCC, page 6:1-6:13. ACM, (2023)Neural Network Repair with Reachability Analysis., , , , , and . CoRR, (2021)Benchmark: A Nonlinear Reachability Analysis Test Set from Numerical Analysis., , and . ARCH@CPSWeek, volume 34 of EPiC Series in Computing, page 89-97. EasyChair, (2015)Verification of Closed-loop Systems with Neural Network Controllers., , , and . ARCH@CPSIoTWeek, volume 61 of EPiC Series in Computing, page 201-210. EasyChair, (2019)Guaranteed cost static output feedback for networked control systems., , and . ICARCV, page 1267-1272. IEEE, (2014)Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach., , , and . CoRR, (2020)Parallelizable reachability analysis algorithms for feed-forward neural networks., , , , , , and . FormaliSE@ICSE, page 31-40. IEEE / ACM, (2019)Star-Based Reachability Analysis of Deep Neural Networks., , , , , , and . FM, volume 11800 of Lecture Notes in Computer Science, page 670-686. Springer, (2019)