5 papers
Lighthouse RL: Sample-Efficient Circuit Optimization via Strategic Reset Points
Mustafa Emre Gürsoy, Stefan Uhlich, Ryoga Matsuo +6
In this paper, we introduce Lighthouse RL, a sample-efficient reinforcement learning (RL) approach for analog circuit sizing. Traditional methods lack generalization across differe…
SPICEMixer - Netlist-Level Circuit Evolution
Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman +5
We present SPICEMixer, a genetic algorithm that synthesizes circuits by directly evolving SPICE netlists. SPICEMixer operates on individual netlist lines, making it compatible with…
Locality-aware Surrogates for Gradient-based Black-box Optimization
Ali Momeni, Stefan Uhlich, Arun Venkitaraman +5
In physics and engineering, many processes are modeled using non-differentiable black-box simulators, making the optimization of such functions particularly challenging. To address…
Schemato -- An LLM for Netlist-to-Schematic Conversion
Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman +7
Machine learning models are advancing circuit design, particularly in analog circuits. They typically generate netlists that lack human interpretability. This is a problem as human…
GraCo -- A Graph Composer for Integrated Circuits
Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman +5
Designing integrated circuits involves substantial complexity, posing challenges in revealing its potential applications - from custom digital cells to analog circuits. Despite ext…