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cs.AI2026
LOADBench: A Large Open Analog Dataset and Benchmark for Machine Learning in IC Design
M. Leibl, F. Azevedo, S. Uhlich +7
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 obtain…
cs.NE2026
Spicing up Genetic Netlist Generation with LLMs
Stefan Uhlich, Yağız Gençer, Andrea Bonetti +4
Analog circuit topology synthesis remains challenging because useful designs occupy a tiny fraction of a combinatorial search space, and small structural changes can induce highly…
cs.LG2026
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…