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Fuse It or Lose It Deep Fusion for Multimodal Simulation-Based Inference

M Schmitt, ST Radev, PC Bürkner - arXiv preprint arXiv:2311.10671, 2023 - arxiv.org
Education paper cs.LG Suggest

… the flexibility of MultiNPE as a novel simulationbased inference tool for real-world … it pushes the boundaries of modern simulationbased inference with neural networks and …

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BibTeX

@misc{schmitt2024fuse,
title={Fuse It or Lose It Deep Fusion for Multimodal Simulation-Based Inference},
author={Marvin Schmitt and Stefan T. Radev and Paul-Christian Bürkner},
year={2024},
eprint={2311.10671},
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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