arXiv Machine Learning August 14, 2026 By Fin Amin, Sounak Dutta, Paul D. Franzon

Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization

Read the original on arXiv Machine Learning →

arXiv:2608. 12687v1 Announce Type: new Abstract: Bayesian optimization (BO) is a sample-efficient framework for analog circuit topology search, where evaluating each candidate topology can require costly simulation.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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