A Novel and Efficient Bayesian Optimization Approach for Analog Designs with Multi-Testbench
Published in In the proceedings of 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 2022
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Recommended citation: Jingyao Zhao, Changhao Yan, Zhaori Bi, Fan Yang, Xuan Zeng, Dian Zhou, "A Novel and Efficient Bayesian Optimization Approach for Analog Designs with Multi-Testbench." In the proceedings of 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 2022.