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03/29/2022
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design
Being able to predict the performance of circuits without running expens...
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06/02/2021
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data
The goal of Multi-task Bayesian Optimization (MBO) is to minimize the nu...
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02/17/2020
GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction
In this work we present a new method of black-box optimization and const...
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07/31/2019
Tuning Algorithms and Generators for Efficient Edge Inference
A surge in artificial intelligence and autonomous technologies have incr...
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07/23/2019
BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks
The discrepancy between post-layout and schematic simulation results con...
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05/30/2018
