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Simultaneous identification of models and parameters of scientific simulators

C Schröder, JH Macke - arXiv preprint arXiv:2305.15174, 2023 - arxiv.org
Computer Science paper cs.LG Suggest

… We approach this problem in an amortized simulation-based inference framework: We define implicit model priors over a fixed set of candidate components and train …

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BibTeX

@misc{schröder2024simultaneous,
title={Simultaneous identification of models and parameters of scientific simulators},
author={Cornelius Schröder and Jakob H. Macke},
year={2024},
eprint={2305.15174},
archivePrefix={arXiv},
primaryClass={id='cs.LG' full_name='Machine Learning' is_active=True alt_name=None in_archive='cs' is_general=False description='Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods.'}
}

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