Ahmet Faruk Budak

According to our database, Ahmet Faruk Budak authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Yaoyao Jia, David Z. Pan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

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

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Joint Optimization of Sizing and Layout for AMS Designs: Challenges and Opportunities.

Ahmet Faruk Budak, Keren Zhu, Hao Chen, Souradip Poddar, Linran Zhao, Yaoyao Jia, David Z. Pan

Proceedings of the 2023 International Symposium on Physical Design, 2023

Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks.

Ahmet Faruk Budak, Keren Zhu, David Z. Pan

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors Using DNN Learning.

Ahmet Faruk Budak, David Smart, Brian Swahn, David Z. Pan

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

An Efficient Analog Circuit Sizing Method Based on Machine Learning Assisted Global Optimization.

Ahmet Faruk Budak, Miguel Gandara, Wei Shi, David Z. Pan, Nan Sun, Bo Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper).

Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu, Azalia Mirhoseini, Anna Goldie, David Z. Pan

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks.

Ahmet Faruk Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021