Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Doc/readme joss update #623

Merged
merged 2 commits into from
Jun 5, 2024
Merged

Doc/readme joss update #623

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
7bd87b4
added dois where available
musslick May 23, 2024
0fec746
added JOSS update
musslick Jun 4, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
![GitHub Discussions](https://img.shields.io/github/discussions/autoresearch/autora)
[![DOI](https://zenodo.org/badge/261852986.svg)](https://zenodo.org/doi/10.5281/zenodo.10277414)
[![status](https://joss.theoj.org/papers/be6d470033fbe5bd705a49858eb4e21e/status.svg)](https://joss.theoj.org/papers/be6d470033fbe5bd705a49858eb4e21e)

<a href="https://ccbs.carney.brown.edu/brainstorm"><img src="docs/img/brainstorm.png" alt="BRAINSTORM Program" height="60"></img></a>&nbsp;&nbsp;&nbsp;&nbsp;
<a href="https://schmidtsciencefellows.org/"><img src="docs/img/ssf.png" alt="Schmidt Science Fellows" height="60"></img></a>
Expand Down
31 changes: 21 additions & 10 deletions paper/paper.bib
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,8 @@ @inproceedings{hewson_bayesian_2023
title = {Bayesian machine scientist for model discovery in psychology},
author = {Hewson, Joshua and Strittmatter, Younes and Marinescu, Ioana and Williams, Chad and Musslick, Sebastian},
year = {2023},
booktitle = {NeurIPS 2023 AI for Science Workshop},
booktitle = {NeurIPS 2023 AI for Science Workshop},
url={https://openreview.net/forum?id=XHFfvzlQ1n}
}

@inproceedings{musslick_evaluation_2023,
Expand All @@ -20,6 +21,7 @@ @article{dubova_against_2022
journal = {MetaArXiv. June},
author = {Dubova, Marina and Moskvichev, Arseny and Zollman, Kevin},
year = {2022},
doi = {10.31222/osf.io/ysv2u},
}

@article{palan_prolific_2018,
Expand All @@ -31,6 +33,7 @@ @article{palan_prolific_2018
year = {2018},
note = {Publisher: Elsevier},
pages = {22--27},
doi = {10.1016/j.jbef.2017.12.004},
}

@article{pedregosa2011scikit,
Expand All @@ -49,25 +52,32 @@ @inproceedings{
author={Brenden K Petersen and Mikel Landajuela Larma and Terrell N. Mundhenk and Claudio Prata Santiago and Soo Kyung Kim and Joanne Taery Kim},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=m5Qsh0kBQG}
url={https://openreview.net/forum?id=m5Qsh0kBQG},
doi={10.48550/arXiv.1912.04871}
}

@article{landajuela_unified_2022,
title = {A unified framework for deep symbolic regression},
volume = {35},
journal = {Advances in Neural Information Processing Systems},
author = {Landajuela, Mikel and Lee, Chak Shing and Yang, Jiachen and Glatt, Ruben and Santiago, Claudio P and Aravena, Ignacio and Mundhenk, Terrell and Mulcahy, Garrett and Petersen, Brenden K},
year = {2022},
pages = {33985--33998},

@inproceedings{landajuela_unified_2022,
author = {Landajuela, Mikel and Lee, Chak Shing and Yang, Jiachen and Glatt, Ruben and Santiago, Claudio P and Aravena, Ignacio and Mundhenk, Terrell and Mulcahy, Garrett and Petersen, Brenden K},
booktitle = {Advances in Neural Information Processing Systems},
editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
pages = {33985--33998},
publisher = {Curran Associates, Inc.},
title = {A Unified Framework for Deep Symbolic Regression},
url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/dbca58f35bddc6e4003b2dd80e42f838-Paper-Conference.pdf},
volume = {35},
year = {2022}
}


@article{cranmer_discovering_2020,
title = {Discovering symbolic models from deep learning with inductive biases},
volume = {33},
journal = {Advances in Neural Information Processing Systems},
author = {Cranmer, Miles and Sanchez Gonzalez, Alvaro and Battaglia, Peter and Xu, Rui and Cranmer, Kyle and Spergel, David and Ho, Shirley},
year = {2020},
pages = {17429--17442},
doi = {10.48550/arXiv.2006.11287},
}

@article{guimera_bayesian_2020,
Expand All @@ -80,14 +90,15 @@ @article{guimera_bayesian_2020
year = {2020},
note = {Publisher: American Association for the Advancement of Science},
pages = {eaav6971},
doi = {10.1126/sciadv.aav6971},
}

@article{musslick2024,
author = {Musslick, Sebastian and Strittmatter, Younes and Dubova, Marina},
title = {Closed-loop scientific discovery in the behavioral sciences},
year = {2024},
publisher={PsyArXiv},
doi = {https://doi.org/10.31234/osf.io/c2ytb},
doi = {10.31234/osf.io/c2ytb},
}


Loading