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Synthesizing Precise Static Analyzers for Automatic Differentiation.

, , , and . Proc. ACM Program. Lang., 7 (OOPSLA2): 1964-1992 (October 2023)

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Approximate and Probabilistic Computing: Design, Coding, Verification, , , and . (2015)Synthesizing Precise Static Analyzers for Automatic Differentiation., , , and . Proc. ACM Program. Lang., 7 (OOPSLA2): 1964-1992 (October 2023)Verifying safety and accuracy of approximate parallel programs via canonical sequentialization., , and . Proc. ACM Program. Lang., 3 (OOPSLA): 119:1-119:29 (2019)Quantifying the Exploration of the Korat Solver for Imperative Constraints., , , , and . ACM SIGSOFT Softw. Eng. Notes, 44 (4): 15 (2019)Is Watermarking LLM-Generated Code Robust?, , , and . CoRR, (2024)ViX: Analysis-driven Compiler for Efficient Low-Precision Variational Inference., , and . DATE, page 1-6. IEEE, (2023)ASTRA: Understanding the practical impact of robustness for probabilistic programs., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 900-910. PMLR, (2023)AQUA: Automated Quantized Inference for Probabilistic Programs., , and . ATVA, volume 12971 of Lecture Notes in Computer Science, page 229-246. Springer, (2021)Provable Defense Against Geometric Transformations., , , and . ICLR, OpenReview.net, (2023)Statheros: Compiler for Efficient Low-Precision Probabilistic Programming., , , , and . DAC, page 787-792. IEEE, (2021)