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GATSBI Generative Adversarial Training for Simulation-Based Inference

P Ramesh, JM Lueckmann, J Boelts… - arXiv preprint arXiv …, 2022 - arxiv.org
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… Simulation-based inference (SBI) refers to statistical inference on stochastic models for which we can generate samples, but not compute likelihoods. Like SBI algorithms, generative …

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BibTeX

@misc{ramesh2022gatsbi,
title={GATSBI Generative Adversarial Training for Simulation-Based Inference},
author={Poornima Ramesh and Jan-Matthis Lueckmann and Jan Boelts and Álvaro Tejero-Cantero and David S. Greenberg and Pedro J. Gonçalves and Jakob H. Macke},
year={2022},
eprint={2203.06481},
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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