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Formal Methods Meet Machine Learning (F3ML).

, , , , , and . ISoLA (3), volume 13703 of Lecture Notes in Computer Science, page 393-405. Springer, (2022)

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Introduction to Symbolic Execution of Neural Networks - Towards Faithful and Explainable Surrogate Models., and . Electron. Commun. Eur. Assoc. Softw. Sci. Technol., (2022)Formal Methods Meet Machine Learning (F3ML)., , , , , and . ISoLA (3), volume 13703 of Lecture Notes in Computer Science, page 393-405. Springer, (2022)Characteristic invariants in Hennessy-Milner logic., , and . Acta Informatica, 57 (3-5): 671-687 (2020)Every Component Matters: Generating Parallel Verification Benchmarks with Hardness Guarantees., , , and . ISoLA (4), volume 12479 of Lecture Notes in Computer Science, page 242-263. Springer, (2020)The Power of Typed Affine Decision Structures: A Case Study., , , and . CoRR, (2023)RERS 2019: Combining Synthesis with Real-World Models., , , , , , , , , and 1 other author(s). TACAS (3), volume 11429 of Lecture Notes in Computer Science, page 101-115. Springer, (2019)Forest GUMP: a tool for verification and explanation., , , , and . Int. J. Softw. Tools Technol. Transf., 25 (3): 287-299 (June 2023)Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations., , , and . CoRR, (2023)Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)., , and . REW, page 316-324. IEEE, (2023)