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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Lighthouse RL: Sample-Efficient Circuit Optimization via Strategic Reset Points

Mustafa Emre Gürsoy, Stefan Uhlich, Ryoga Matsuo +6

The paper presents Lighthouse RL, a reinforcement‑learning method that improves sample efficiency for analog circuit sizing by periodically resetting episodes to high‑performing co…

cs.NE2025

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…

cs.LG2025

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…

cs.LG2025

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…

cs.LG2025

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…