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Efficient Hybrid Performance Modeling for Analog Circuits Using Hierarchical Shrinkage Priors.

, , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (12): 2148-2152 (2016)

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Synthetic Imagery Data Generation for Training and Testing Deep Learning Models of Object Recognition.. Duke University, Durham, NC, USA, (2022)base-search.net (ftdukeunivdsp:oai:localhost:10161/26786).Correlated Rare Failure Analysis via Asymptotic Probability Evaluation., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (4): 813-826 (2022)Efficient Hybrid Performance Modeling for Analog Circuits Using Hierarchical Shrinkage Priors., , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (12): 2148-2152 (2016)Impact of circuit-level non-idealities on vision-based autonomous driving systems., , , and . ICCAD, page 976-983. IEEE, (2017)Intelligent corner synthesis via cycle-consistent generative adversarial networks for efficient validation of autonomous driving systems., and . ASP-DAC, page 9-15. IEEE, (2018)Efficient statistical analysis for correlated rare failure events via asymptotic probability approximation., , , , , , and . ICCAD, page 18. ACM, (2016)Correlated Rare Failure Analysis via Asymptotic Probability Evaluation., , , , , and . DAC, page 54:1-54:6. ACM, (2017)Data-Driven Parameterized Corner Synthesis for Efficient Validation of Perception Systems for Autonomous Driving., and . ACM Trans. Cyber Phys. Syst., 7 (2): 9:1-9:24 (April 2023)Meta-simulation for the Automated Design of Synthetic Overhead Imagery., , and . CoRR, (2022)