Arun Venkitaraman

LASO-BOSS: LLM-driven Analog Sizing Optimization via Bayesian Optimization and Sizing Strategies

LOADBench: A Large Open Analog Dataset and Benchmark for Machine Learning in IC Design

Machine learning (ML) for analog IC design is constrained by limited open data and the absence of standardized evaluation: results reported in different papers are typically obtained on bespoke, often closed, datasets and with ad-hoc metrics, leaving comparisons across methods unreliable. We address both gaps with a la...

Spicing up Genetic Netlist Generation with LLMs

LLM-SPICEMixer is introduced, a hybrid synthesis framework that augments genetic netlist generation with IGEL (Inspiration-Guided Evolution with LLMs), an LLM-based proposal operator that improves the median final training reward and the median validation-selected test reward.