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Consistency Models for Scalable and Fast Simulation-Based Inference

M Schmitt, V Pratz, U Köthe, PC Bürkner… - arXiv preprint arXiv …, 2023 - arxiv.org
Mathematics paper cs.LG Suggest

… In this paper, we port consistency models to simulationbased inference (see Figure 1) to achieve an unprecedented combination of both scalable and fast neural posterior …

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@misc{schmitt2024consistency,
title={Consistency Models for Scalable and Fast Simulation-Based Inference},
author={Marvin Schmitt and Valentin Pratz and Ullrich Köthe and Paul-Christian Bürkner and Stefan T Radev},
year={2024},
eprint={2312.05440},
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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