3 papers
cs.LG2025
Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights
Asal Mehradfar, Xuzhe Zhao, Yue Niu +4
Automating analog and radio-frequency (RF) circuit design using machine learning (ML) significantly reduces the time and effort required for parameter optimization. This study expl…
cs.PL2024
Cost-sensitive computational adequacy of higher-order recursion in synthetic domain theory
Yue Niu, Jonathan Sterling, Robert Harper
We study a cost-aware programming language for higher-order recursion dubbed in the setting of synthetic domain theory (SDT). Our main contribution rel…
cs.AR2024
AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design
Asal Mehradfar, Xuzhe Zhao, Yue Niu +4
Analog and radio-frequency circuit design requires extensive exploration of both circuit topology and parameters to meet specific design criteria like power consumption and bandwid…