3 papers
cs.LG2026
Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization
Fin Amin, Sounak Dutta, Paul D. Franzon
Bayesian optimization (BO) is a sample-efficient framework for analog circuit topology search, where evaluating each candidate topology can require costly simulation. However, repr…
cs.LG2026
Can an Actor-Critic Optimization Framework Improve Analog Design?
Sounak Dutta, Fin Amin, Sushil Panda +3
Analog design often slows down because even small changes to device sizes or biases require expensive simulation cycles, and high-quality solutions typically occupy only a narrow p…
cs.LG2026
Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
Fin Amin, Nirjhor Rouf, Tse-Han Pan +3
Many recent machine learning approaches to floorplanning represent placement decisions using discrete canvas coordinates, which creates scalability bottlenecks as the action space…