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Amortized Bayesian Inference of GISAXS Data with Normalizing Flows

M Zhdanov, L Randolph, T Kluge… - arXiv preprint arXiv …, 2022 - arxiv.org
Computer Science paper cs.LG Suggest

… As the likelihood of the data-generating process is intractable, we employ simulation-based inference [11] via NFs. Due to the scarcity of experimental data, we train the model on …

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BibTeX

@misc{zhdanov2022amortized,
title={Amortized Bayesian Inference of GISAXS Data with Normalizing Flows},
author={Maksim Zhdanov and Lisa Randolph and Thomas Kluge and Motoaki Nakatsutsumi and Christian Gutt and Marina Ganeva and Nico Hoffmann},
year={2022},
eprint={2210.01543},
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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