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cs.AR2025
AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience
Zining Wang, Jian Gao, Weimin Fu +2
Analog circuit design remains a knowledge- and experience-intensive process that relies heavily on human intuition for topology generation and device parameter tuning. Existing LLM…
cs.AR2024
RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning
Weidong Cao, Jian Gao, Tianrui Ma +3
This paper proposes a learning framework, RoSE-Opt, to achieve robust and efficient analog circuit parameter optimization. RoSE-Opt has two important features. First, it incorporat…