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Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles

S Benevedes, J Thaler - arXiv preprint arXiv:2506.00113, 2025 - arxiv.org
Physics paper hep-ph Suggest

… The primary application we consider here is for parameter estimation, where DRE is the foundation for various techniques in simulation-based inference (SBI) [40]. …

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BibTeX

@misc{benevedes2025frequentistuncertaintiesneuraldensity,
title={Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles},
author={Sean Benevedes and Jesse Thaler},
year={2025},
eprint={2506.00113},
archivePrefix={arXiv},
primaryClass={hep-ph},
url={https//arxiv.org/abs/2506.00113},
}

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