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Efficient statistical validation of machine learning systems for autonomous driving.

, , , , , and . ICCAD, page 36. ACM, (2016)

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Efficient analog circuit optimization using sparse regression and error margining., , , , and . ISQED, page 410-415. IEEE, (2016)Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems., , , , , , , and . EURASIP J. Wireless Comm. and Networking, (2018)S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits., , and . ASP-DAC, page 268-273. ACM, (2019)Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey., , , and . Integration, (2017)LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks., , , and . DAC, page 107. ACM, (2019)Efficient programming of reconfigurable radio frequency (RF) systems., , , , , , , and . ICCAD, page 772-779. IEEE, (2017)Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection., , , , and . DATE, page 54-59. IEEE, (2019)Efficient statistical validation of machine learning systems for autonomous driving., , , , , and . ICCAD, page 36. ACM, (2016)Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning., , and . IEEE Trans. on CAD of Integrated Circuits and Systems, 37 (12): 2986-2998 (2018)Tackling signal electromigration with learning-based detection and multistage mitigation., , , and . ASP-DAC, page 167-172. ACM, (2019)