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Papamakarios, George, Nalisnick, Eric, Rezende, Danilo Jimenez, Mohamed, Shakir, Lakshminarayanan, Balaji
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@article{papamakarios2021normalizing,
category = {overview},
numpages = {64},
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title = {Normalizing flows for probabilistic modeling and inference},
author = {Papamakarios, George and Nalisnick, Eric and Rezende, Danilo Jimenez and Mohamed, Shakir and Lakshminarayanan, Balaji}
}
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## Software
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[Link](https://bayesflow.org/)
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@article{radev2023bayesflow,
category = {software},
journal = {Journal of Open Source Software},
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url = {https://bayesflow.org/},
doi = {10.21105/joss.05702}
}
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- **sbi: A toolkit for simulation-based inference**
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[Link](https://sbi-dev.github.io/sbi/latest/)
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@article{tejero-cantero2020sbi,
category = {software},
journal = {Journal of Open Source Software},
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url = {https://sbi-dev.github.io/sbi/latest/},
doi = {10.21105/joss.02505}
}
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## Paper
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[Link](http://dx.doi.org/10.1103/PhysRevLett.130.171403)
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@article{dax2023neural,
category = {paper},
year = {2023},
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volume = {130},
title = {Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference}
}
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- **JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models**
Radev, Stefan T., Schmitt, Marvin, Pratz, Valentin, Picchini, Umberto, K\"othe, Ullrich, B\"urkner, Paul-Christian
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@inproceedings{radev2023jana,
category = {paper},
publisher = {PMLR},
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author = {Radev, Stefan T. and Schmitt, Marvin and Pratz, Valentin and Picchini, Umberto and K\"othe, Ullrich and B\"urkner, Paul-Christian},
title = {{JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models}}
}
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- **ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems**
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[Link](https://arxiv.org/abs/2405.05398)
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@misc{orozco2024aspire,
category = {paper},
url = {https://arxiv.org/abs/2405.05398},
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title = {ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems},
author = {Rafael Orozco and Ali Siahkoohi and Mathias Louboutin and Felix J. Herrmann}
}
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