From 69f285e51e9543d3a44b990ce3d0efb2767476e5 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 14 Oct 2024 13:52:59 +0000 Subject: [PATCH 1/2] Update README.md [GH Action] --- README.md | 26 +++++++++----------------- 1 file changed, 9 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index 5749c5d..efce5ea 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ Contributions are always welcome, this is a community-driven project. > -- hopefully with the help of many awesome people from the community 🧡 ## Overview -- **Normalizing flows for probabilistic modeling and inference** (2021). [[Paper]](https://arxiv.org/abs/1912.02762)
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan
+- **Normalizing flows for probabilistic modeling and inference** (2021).
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan
[[Paper]](https://arxiv.org/abs/1912.02762)
Show BibTeX

@@ -37,13 +37,12 @@ Contributions are always welcome, this is a community-driven project.
   month = {jan},
   articleno = {57},
   numpages = {64},
-  category = {overview},
   author = {Papamakarios, George and Nalisnick, Eric and Rezende, Danilo Jimenez and Mohamed, Shakir and Lakshminarayanan, Balaji}
   }
   
   
-- **Neural Methods for Amortized Inference** (2024). [[Paper]](https://arxiv.org/abs/2404.12484)
Andrew Zammit-Mangion, Matthew Sainsbury-Dale, Raphaël Huser
+- **Neural Methods for Amortized Inference** (2024).
Andrew Zammit-Mangion, Matthew Sainsbury-Dale, Raphaël Huser
[[Paper]](https://arxiv.org/abs/2404.12484)
**TL;DR**: Overview paper of amortized point estimators and full posterior estimators.
Show BibTeX

@@ -51,13 +50,12 @@ Contributions are always welcome, this is a community-driven project.
   title = {Neural Methods for Amortized Inference},
   publisher = {arXiv},
   year = {2024},
-  category = {overview},
   author = {Zammit-Mangion, Andrew and Sainsbury-Dale, Matthew and Huser, Raphaël}
   }
   
   
-- **The frontier of simulation-based inference** (2020). [[Paper]](http://dx.doi.org/10.1073/pnas.1912789117)
Kyle Cranmer, Johann Brehmer, Gilles Louppe
+- **The frontier of simulation-based inference** (2020).
Kyle Cranmer, Johann Brehmer, Gilles Louppe
[[Paper]](http://dx.doi.org/10.1073/pnas.1912789117)
Show BibTeX

@@ -71,14 +69,13 @@ Contributions are always welcome, this is a community-driven project.
   publisher = {Proceedings of the National Academy of Sciences},
   year = {2020},
   pages = {30055-30062},
-  category = {overview},
   author = {Cranmer, Kyle and Brehmer, Johann and Louppe, Gilles}
   }
   
   
## Software -- **BayesFlow: Amortized Bayesian Workflows With Neural Networks** (2023). [[Code]](https://bayesflow.org/)
Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
+- **BayesFlow: Amortized Bayesian Workflows With Neural Networks**. [[Code]](https://bayesflow.org/)
Show BibTeX

@@ -91,13 +88,12 @@ Contributions are always welcome, this is a community-driven project.
   pages = {5702},
   title = {BayesFlow: Amortized Bayesian Workflows With Neural Networks},
   journal = {Journal of Open Source Software},
-  category = {software},
   author = {Radev, Stefan T. and Schmitt, Marvin and Schumacher, Lukas and Elsemüller, Lasse and Pratz, Valentin and Schälte, Yannik and Köthe, Ullrich and Bürkner, Paul-Christian}
   }
   
   
-- **sbi: A toolkit for simulation-based inference** (2020). [[Code]](https://sbi-dev.github.io/sbi/latest/)
Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
+- **sbi: A toolkit for simulation-based inference**. [[Code]](https://sbi-dev.github.io/sbi/latest/)
Show BibTeX

@@ -110,14 +106,13 @@ Contributions are always welcome, this is a community-driven project.
   pages = {2505},
   title = {sbi: A toolkit for simulation-based inference},
   journal = {Journal of Open Source Software},
-  category = {software},
   author = {Tejero-Cantero, Alvaro and Boelts, Jan and Deistler, Michael and Lueckmann, Jan-Matthis and Durkan, Conor and Gonçalves, Pedro J. and Greenberg, David S. and Macke, Jakob H.}
   }
   
   
## Paper -- **Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference** (2023). [[Paper]](http://dx.doi.org/10.1103/PhysRevLett.130.171403)
Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
+- **Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference** (2023).
Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
[[Paper]](http://dx.doi.org/10.1103/PhysRevLett.130.171403)
Show BibTeX

@@ -130,13 +125,12 @@ Contributions are always welcome, this is a community-driven project.
   journal = {Physical Review Letters},
   publisher = {American Physical Society (APS)},
   year = {2023},
-  category = {paper},
   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}
   }
   
   
-- **JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models** (2023). [[Paper]](https://proceedings.mlr.press/v216/radev23a)
Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner
+- **JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models** (2023).
Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner
[[Paper]](https://proceedings.mlr.press/v216/radev23a)
Show BibTeX

@@ -148,13 +142,12 @@ Contributions are always welcome, this is a community-driven project.
   volume = {216},
   series = {Proceedings of Machine Learning Research},
   publisher = {PMLR},
-  category = {paper},
   author = {Radev, Stefan T. and Schmitt, Marvin and Pratz, Valentin and Picchini, Umberto and K\"othe, Ullrich and B\"urkner, Paul-Christian}
   }
   
   
-- **ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems** (2024). [[Paper]](https://arxiv.org/abs/2405.05398)
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
+- **ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems** (2024).
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Show BibTeX

@@ -162,14 +155,13 @@ Contributions are always welcome, this is a community-driven project.
   Title = {ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems},
   Year = {2024},
   Eprint = {arXiv:2405.05398},
-  category = {paper},
   author = {Orozco, Rafael and Siahkoohi, Ali and Louboutin, Mathias and Herrmann, Felix J.}
   }
   
   
## Uncategorized -- **Flow Matching for Scalable Simulation-Based Inference** (2023). [[Paper]](https://openreview.net/forum?id=D2cS6SoYlP) [[Code]](https://github.com/dingo-gw/flow-matching-posterior-estimation)
Jonas Bernhard Wildberger, Maximilian Dax, Simon Buchholz, Stephen R Green, Jakob H. Macke, Bernhard Schölkopf
+- **Flow Matching for Scalable Simulation-Based Inference** (2023).
Jonas Bernhard Wildberger, Maximilian Dax, Simon Buchholz, Stephen R Green, Jakob H. Macke, Bernhard Schölkopf
[[Paper]](https://openreview.net/forum?id=D2cS6SoYlP) [[Code]](https://github.com/dingo-gw/flow-matching-posterior-estimation)
Show BibTeX


From 854206d493b207e9e9c3a6a1c8346690fb58bced Mon Sep 17 00:00:00 2001
From: Marvin Schmitt <35921281+marvinschmitt@users.noreply.github.com>
Date: Mon, 14 Oct 2024 16:40:57 +0200
Subject: [PATCH 2/2] Create CNAME

---
 CNAME | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 CNAME

diff --git a/CNAME b/CNAME
new file mode 100644
index 0000000..b2ef5c0
--- /dev/null
+++ b/CNAME
@@ -0,0 +1 @@
+awesome-amortized-inference.bayesflow.org
\ No newline at end of file