From the 1 of 5 linked papers with an AI index.
5 papers
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…
GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh +8
Analog subcircuit identification is a core task in analog design, essential for simulation, sizing, and layout. Traditional methods often require extensive human expertise, rule-ba…
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…
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…