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Time-Series Learning Using Monotonic Logical Properties.

, , , , and . RV, volume 11237 of Lecture Notes in Computer Science, page 389-405. Springer, (2018)

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Learning Task Specifications from Demonstrations via the Principle of Maximum Causal Entropy., and . CoRR, (2019)VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems., , , , , , and . CoRR, (2019)Formal Specification for Deep Neural Networks., , , , , , , , and . ATVA, volume 11138 of Lecture Notes in Computer Science, page 20-34. Springer, (2018)Learning Task Specifications from Demonstrations., , , , and . NeurIPS, page 5372-5382. (2018)Time-Series Learning Using Monotonic Logical Properties., , , , and . RV, volume 11237 of Lecture Notes in Computer Science, page 389-405. Springer, (2018)Tunable Reactive Synthesis for Lipschitz-Bounded Systems with Temporal Logic Specifications., , , , and . CoRR, (2017)Logical Clustering and Learning for Time-Series Data., , , and . CAV (1), volume 10426 of Lecture Notes in Computer Science, page 305-325. Springer, (2017)VerifAI: A Toolkit for the Formal Design and Analysis of Artificial Intelligence-Based Systems., , , , , , and . CAV (1), volume 11561 of Lecture Notes in Computer Science, page 432-442. Springer, (2019)A Model Counter's Guide to Probabilistic Systems., , and . CoRR, (2019)Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques., , , , and . CoRR, (2019)