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# Awesome Amortized Inference
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Welcome to the Awesome Amortized Inference repository!
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This is a curated list of resources, including overviews, software, papers, and other resources related to amortized inference.
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Feel free to explore the entries below and use the provided BibTeX information for citation purposes.
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Contributioons always welcome, this shall be a community-driven project.
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Contribution guide will follow ASAP.
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## Overview
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- **Normalizing flows for probabilistic modeling and inference**
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Papamakarios, George, Nalisnick, Eric, Rezende, Danilo Jimenez, Mohamed, Shakir, Lakshminarayanan, Balaji
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Papamakarios, George, Nalisnick, Eric, Rezende, Danilo Jimenez, Mohamed, Shakir, Lakshminarayanan, Balaji
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<details>
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<summary>Show BibTeX</summary>
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<button onclick="var btn=this; navigator.clipboard.writeText(`@article{papamakarios2021normalizing,
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</code></pre>
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</details>
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## Software
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- **BayesFlow: Amortized Bayesian Workflows With Neural Networks**
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Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
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[Link](https://bayesflow.org/)
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Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
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[Link](https://bayesflow.org/)
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<details>
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<summary>Show BibTeX</summary>
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<button onclick="var btn=this; navigator.clipboard.writeText(`@article{radev2023bayesflow,
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</code></pre>
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</details>
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- **sbi: A toolkit for simulation-based inference**
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Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
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[Link](https://sbi-dev.github.io/sbi/latest/)
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Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
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[Link](https://sbi-dev.github.io/sbi/latest/)
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<details>
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<summary>Show BibTeX</summary>
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<button onclick="var btn=this; navigator.clipboard.writeText(`@article{tejero-cantero2020sbi,
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</code></pre>
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## Paper
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- **Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference**
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Dax, Maximilian, Green, Stephen R., Gair, Jonathan, P\"{u}rrer, Michael, Wildberger, Jonas, Macke, Jakob H., Buonanno, Alessandra, Sch\"{o}lkopf, Bernhard
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[Link](http://dx.doi.org/10.1103/PhysRevLett.130.171403)
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Dax, Maximilian, Green, Stephen R., Gair, Jonathan, P\"{u}rrer, Michael, Wildberger, Jonas, Macke, Jakob H., Buonanno, Alessandra, Sch\"{o}lkopf, Bernhard
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[Link](http://dx.doi.org/10.1103/PhysRevLett.130.171403)
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<details>
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<summary>Show BibTeX</summary>
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<button onclick="var btn=this; navigator.clipboard.writeText(`@article{dax2023neural,
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</code></pre>
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</details>
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- **JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models**
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Radev, Stefan T., Schmitt, Marvin, Pratz, Valentin, Picchini, Umberto, K\"othe, Ullrich, B\"urkner, Paul-Christian
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Radev, Stefan T., Schmitt, Marvin, Pratz, Valentin, Picchini, Umberto, K\"othe, Ullrich, B\"urkner, Paul-Christian
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<details>
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<summary>Show BibTeX</summary>
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<button onclick="var btn=this; navigator.clipboard.writeText(`@inproceedings{radev2023jana,
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</code></pre>
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</details>
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- **ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems**
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Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
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[Link](https://arxiv.org/abs/2405.05398)
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Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
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[Link](https://arxiv.org/abs/2405.05398)
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<details>
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<summary>Show BibTeX</summary>
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<button onclick="var btn=this; navigator.clipboard.writeText(`@misc{orozco2024aspire,
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}
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</code></pre>
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</details>
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