[PRE REVIEW]: 'SBIAX: Density-estimation simulation-based inference in JAX.'

[editorialbot]

Submitting author: !--author-handle-->@homerjed<!--end-author-handle-- (Jed Homer) Repository: https://github.com/homerjed/sbiax Branch with paper.md (empty if default branch): Version: 0.0.9 Editor: Pending Reviewers: Pending Managing EiC: Chris Vernon

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.04 s (1089.3 files/s, 155006.7 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          30            555            748           2116
Jupyter Notebook                 3              0           1100            536
YAML                             3             20              8            170
Markdown                         2             71              0            151
TeX                              1             17              0            145
TOML                             1              3              0             52
-------------------------------------------------------------------------------
SUM:                            40            666           1856           3170
-------------------------------------------------------------------------------

Commit count by author:

    43  homerjed

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.5281/zenodo.10402073 is OK
- 10.1073/pnas.1912789117 is OK
- 10.1093/mnras/stz1960 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Variational Inference with Normalizing Flows
- No DOI given, and none found for title: FFJORD: Free-form Continuous Dynamics for Scalable...
- No DOI given, and none found for title: Neural Ordinary Differential Equations
- No DOI given, and none found for title: BlackJAX: Composable Bayesian inference in JAX
- No DOI given, and none found for title: Masked Autoregressive Flow for Density Estimation
- No DOI given, and none found for title: Flow Matching for Generative Modeling
- No DOI given, and none found for title: Optuna: A Next-Generation Hyperparameter Optimizat...
- No DOI given, and none found for title: Neural Density Estimation and Likelihood-free Infe...
- No DOI given, and none found for title: Automatic Posterior Transformation for Likelihood-...
- No DOI given, and none found for title: JAX: composable transformations of Python+NumPy pr...
- No DOI given, and none found for title: Equinox: neural networks in JAX via callable PyTre...
- No DOI given, and none found for title: The DeepMind JAX Ecosystem
- No DOI given, and none found for title: On Neural Differential Equations
- No DOI given, and none found for title: Simulation-Based Inference Has It’s Own Dodelson-S...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1378

✅ The paper includes a Statement of need section

[editorialbot]

:warning: An error happened when generating the pdf. Problem with ORCID (0000-0000-0000-0000) for Jed Homer. Invalid ORCID.

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[homerjed]

@editorialbot generate pdf

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[crvernon]

@homerjed - I noticed that your repository is only a few weeks old. Can you discuss the timeline of this project a bit here in this thread a bit? Thanks.

[homerjed]

Hi @crvernon,

This repository was pushed from code I wrote in preparation for a project about challenging the use of density estimation SBI in cosmological inference problems.

Whilst it's only a few weeks old I have been working on this code and project for about a year. Now seemed like a good time to push the code and publish (a JOSS paper + astrophysics journal paper) since I want the readers of my paper (to be Arxiv'd in the next week or so) to run my experiments themselves.

Additionally, the code is ideal for further independent SBI analyses and beyond - personally I found other existing codebases unwieldly.

Does that cover it? Let me know, cheers :)

[crvernon]

Thanks @homerjed

[crvernon]

@editorialbot invite @RMeli as editor

:wave: @RMeli are you able to take this one on as editor?

[editorialbot]

Invitation to edit this submission sent!