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Hamidreza Aghasi

2 accepted papers

2025

FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design

NeurIPS 2025poster

Designing analog circuits from performance specifications is a complex, multi-stage process encompassing topology selection, parameter inference, and layout feasibility. We introduce FALCON, a unified machine learning framework that enables fully automated, specification-driven analog circuit synthe…

Cited by 0SourcecodeScholar
2023

Learning to Design Analog Circuits to Meet Threshold Specifications

ICML 2023poster

Automated design of analog and radio-frequency circuits using supervised or reinforcement learning from simulation data has recently been studied as an alternative to manual expert design. It is straightforward for a design agent to learn an inverse function from desired performance metrics to circu…