Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits
<|reference_start|>Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits: We propose an active sampling flow, with the use-case of simulating the impact of combined variations on analog circuits. In such a context, given the large number of parameters, it is difficult to fit a surrogate model and to efficiently explore the space of design features.   By combining a drastic dimension reduction using sensitivity analysis and Bayesian surrogate modeling, we obtain a flexible active sampling flow. On synthetic and real datasets, this flow outperforms the usual Monte-Carlo sampling which often forms the foundation of design space exploration.<|reference_end|>
@article{chhaibi2024sensitivity,
    title={Sensitivity Analysis for Active Sampling, with Applications to the
  Simulation of Analog Circuits},
    author={Reda Chhaibi, Fabrice Gamboa, Christophe Oger, Vinicius Oliveira,
  Cl'ement Pellegrini, Damien Remot},
    journal={arXiv preprint arXiv:2405.07971},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.07971},
    primaryClass={stat.ML cs.LG stat.AP stat.ME}
}