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@article{10.5555/3322706.3322734,
author = {Bingham, Eli and Chen, Jonathan P. and Jankowiak, Martin and Obermeyer, Fritz and Pradhan, Neeraj and Karaletsos, Theofanis and Singh, Rohit and Szerlip, Paul and Horsfall, Paul and Goodman, Noah D.},
title = {Pyro: Deep Universal Probabilistic Programming},
year = {2019},
issue_date = {January 2019},
publisher = {JMLR.org},
volume = {20},
number = {JMLR},
issn = {1532-4435},
loc = {J. Mach. Learn. Res.},
month = jan,
pages = {973–978},
numpages = {6},
keywords = {probabilistic programming, deep learning, approximate Bayesian inference, graphical models, generative models},
url = {https://paperswithcode.com/paper/pyro-deep-universal-probabilistic-programming}
}


@article{li2021analytical,
title={Analytical Characterization and Design Space Exploration for Optimization of CNNs}, 
author={Rui Li and Yufan Xu and Aravind Sukumaran-Rajam and Atanas Rountev and P. Sadayappan},
year={2021},
eprint={2101.09808},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/pdf/2101.09808.pdf},
loc={The ACM Conference on Architectural Support for Programming Languages and Operating
Systems},
number={ASPLOS}
}

@article{10.1145/3434321,
author = {Courant, Nathanaël and Leroy, Xavier},
title = {Verified Code Generation for the Polyhedral Model},
year = {2021},
issue_date = {January 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {5},
number = {POPL},
url = {https://doi.org/10.1145/3434321},
doi = {10.1145/3434321},
journal = {Proc. ACM Program. Lang.},
month = jan,
articleno = {40},
numpages = {24},
keywords = {Polyhedral model, Polyhedral code generation, Compiler verification},
loc = {Proc. ACM Program. Lang.}
}

@article{Ghahramani2015,
author={Ghahramani, Zoubin},
title={Probabilistic machine learning and artificial intelligence},
journal={Nature},
year={2015},
month={May},
day={01},
number={521},
pages={452-459},
issn={1476-4687},
doi={10.1038/nature14541},
url={https://doi.org/10.1038/nature14541},
loc={Nature}
}

@article{10.1145/3341702,
author = {Walia, Rajan and Narayanan, Praveen and Carette, Jacques and Tobin-Hochstadt, Sam and Shan, Chung-chieh},
title = {From High-Level Inference Algorithms to Efficient Code},
year = {2019},
issue_date = {August 2019},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {3},
number = {ICFP},
url = {https://doi.org/10.1145/3341702},
doi = {10.1145/3341702},
journal = {Proc. ACM Program. Lang.},
month = jul,
articleno = {98},
numpages = {30},
keywords = {loop optimization, conjugacy, marginalization, collapsed Gibbs sampling, arrays, plates, multidimensional distributions, probabilistic programs, map-reduce},
loc = {Proc. ACM Program. Lang.}
}
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