DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks. - Ahmet Faruk Budak; Prateek Bhansali; Bo Liu 003; Nan Sun 001; David Z. Pan; Chandramouli V. Kashyap (DAC, 2021)

Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). - Ahmet Faruk Budak; Zixuan Jiang; Keren Zhu 001; Azalia Mirhoseini; Anna Goldie; David Z. Pan (ASP-DAC, 2022)

An Efficient Analog Circuit Sizing Method Based on Machine Learning Assisted Global Optimization. - Ahmet Faruk Budak; Miguel Gandara; Wei Shi 011; David Z. Pan; Nan Sun 001; Bo Liu 003 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors Using DNN Learning. - Ahmet Faruk Budak; David Smart; Brian Swahn; David Z. Pan (ASP-DAC, 2023)

Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks. - Ahmet Faruk Budak; Keren Zhu 001; David Z. Pan (ICCAD, 2023)

Joint Optimization of Sizing and Layout for AMS Designs: Challenges and Opportunities. - Ahmet Faruk Budak; Keren Zhu 001; Hao Chen 059; Souradip Poddar; Linran Zhao; Yaoyao Jia; David Z. Pan (ISPD, 2023)

Toward End-to-End Analog Design Automation with ML and Data-Driven Approaches (Invited Paper). - Supriyo Maji; Ahmet Faruk Budak; Souradip Poddar; David Z. Pan (ASPDAC, 2024)

A Data-Driven Analog Circuit Synthesizer with Automatic Topology Selection and Sizing. - Souradip Poddar; Ahmet Faruk Budak; Linran Zhao; Chen-Hao Hsu; Supriyo Maji; Keren Zhu 001; Yaoyao Jia; David Z. Pan (DATE, 2024)