From 31a21666eda326e9e7b0225e609bc143abc703a1 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Sun, 13 Oct 2024 21:17:18 +0000 Subject: [PATCH] Update README.md [GH Action] --- README.md | 42 ++++++++++++------------------------------ 1 file changed, 12 insertions(+), 30 deletions(-) diff --git a/README.md b/README.md index df4fab5..82dda50 100644 --- a/README.md +++ b/README.md @@ -8,8 +8,7 @@ Contributioons always welcome, this shall be a community-driven project. Contribution guide will follow ASAP. ## Overview -- **Normalizing flows for probabilistic modeling and inference**. Papamakarios, George, Nalisnick, Eric, Rezende, Danilo Jimenez, Mohamed, Shakir, Lakshminarayanan, Balaji.
Show BibTeX - 
@article{papamakarios2021normalizing,
+- **Normalizing flows for probabilistic modeling and inference**. Papamakarios, George, Nalisnick, Eric, Rezende, Danilo Jimenez, Mohamed, Shakir, Lakshminarayanan, Balaji.  
Show BibTeX
@article{papamakarios2021normalizing,
     category = {overview},
     numpages = {64},
     articleno = {57},
@@ -23,14 +22,11 @@ Contribution guide will follow ASAP.
     year = {2021},
     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 -- **BayesFlow: Amortized Bayesian Workflows With Neural Networks**. Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner. [[Link]](https://bayesflow.org/)
Show BibTeX - 
@article{radev2023bayesflow,
+- **BayesFlow: Amortized Bayesian Workflows With Neural Networks**. Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner.  [[Link]](https://bayesflow.org/)  
Show BibTeX
@article{radev2023bayesflow,
     category = {software},
     journal = {Journal of Open Source Software},
     title = {BayesFlow: Amortized Bayesian Workflows With Neural Networks},
@@ -42,12 +38,9 @@ Contribution guide will follow ASAP.
     year = {2023},
     url = {https://bayesflow.org/},
     doi = {10.21105/joss.05702}
-}

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+}
-- **sbi: A toolkit for simulation-based inference**. Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke. [[Link]](https://sbi-dev.github.io/sbi/latest/)
Show BibTeX - 
@article{tejero-cantero2020sbi,
+- **sbi: A toolkit for simulation-based inference**. Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke.  [[Link]](https://sbi-dev.github.io/sbi/latest/)  
Show BibTeX
@article{tejero-cantero2020sbi,
     category = {software},
     journal = {Journal of Open Source Software},
     title = {sbi: A toolkit for simulation-based inference},
@@ -59,14 +52,11 @@ Contribution guide will follow ASAP.
     year = {2020},
     url = {https://sbi-dev.github.io/sbi/latest/},
     doi = {10.21105/joss.02505}
-}

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## Paper -- **Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference**. Dax, Maximilian, Green, Stephen R., Gair, Jonathan, P\"{u}rrer, Michael, Wildberger, Jonas, Macke, Jakob H., Buonanno, Alessandra, Sch\"{o}lkopf, Bernhard. [[Link]](http://dx.doi.org/10.1103/PhysRevLett.130.171403)
Show BibTeX - 
@article{dax2023neural,
+- **Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference**. Dax,  Maximilian, Green,  Stephen R., Gair,  Jonathan, P\"{u}rrer,  Michael, Wildberger,  Jonas, Macke,  Jakob H., Buonanno,  Alessandra, Sch\"{o}lkopf,  Bernhard.  [[Link]](http://dx.doi.org/10.1103/PhysRevLett.130.171403)  
Show BibTeX
@article{dax2023neural,
     category = {paper},
     year = {2023},
     author = {Dax,  Maximilian and Green,  Stephen R. and Gair,  Jonathan and P\"{u}rrer,  Michael and Wildberger,  Jonas and Macke,  Jakob H. and Buonanno,  Alessandra and Sch\"{o}lkopf,  Bernhard},
@@ -78,12 +68,9 @@ Contribution guide will follow ASAP.
     issn = {1079-7114},
     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.
Show BibTeX - 
@inproceedings{radev2023jana,
+- **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.  
Show BibTeX
@inproceedings{radev2023jana,
     category = {paper},
     publisher = {PMLR},
     series = {Proceedings of Machine Learning Research},
@@ -94,19 +81,14 @@ Contribution guide will follow ASAP.
     booktitle = {Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence},
     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**. Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann. [[Link]](https://arxiv.org/abs/2405.05398)
Show BibTeX - 
@misc{orozco2024aspire,
+- **ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems**. Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann.  [[Link]](https://arxiv.org/abs/2405.05398)  
Show BibTeX
@misc{orozco2024aspire,
     category = {paper},
     url = {https://arxiv.org/abs/2405.05398},
     eprint = {arXiv:2405.05398},
     year = {2024},
     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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+}