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Simulation-based inference using surjective sequential neural likelihood estimation

S Dirmeier, C Albert, F Perez-Cruz - arXiv preprint arXiv:2308.01054, 2023 - arxiv.org
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… To overcome this limitation, we present a new method for simulation-based inference which we call Surjective Sequential Neural Likelihood (SSNL) estimation. SSNL uses …

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BibTeX

@misc{dirmeier2024simulationbased,
title={Simulation-based inference using surjective sequential neural likelihood estimation},
author={Simon Dirmeier and Carlo Albert and Fernando Perez-Cruz},
year={2024},
eprint={2308.01054},
archivePrefix={arXiv},
primaryClass={id='stat.ML' full_name='Machine Learning' is_active=True alt_name=None in_archive='stat' is_general=False description='Covers machine learning papers (supervised, unsupervised, semi-supervised learning, graphical models, reinforcement learning, bandits, high dimensional inference, etc.) with a statistical or theoretical grounding'}
}

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