[PRE REVIEW]: jaxKAN: A unified JAX framework for Kolmogorov-Arnold Networks

[editorialbot]

Submitting author: @srigas (Spyros Rigas)
Repository: https://github.com/srigas/jaxkan
Branch with paper.md (empty if default branch): joss
Version: v0.2.0
Editor: @fabian-s
Reviewers: @kazewong, @ColCarroll
Managing EiC: Chris Vernon

Status

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Thanks for submitting your paper to JOSS @srigas. Currently, there isn't a JOSS editor assigned to your paper.

@srigas if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.98  T=0.05 s (979.0 files/s, 276946.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Jupyter Notebook                18              0           8049           3075
Python                          19            652           1159           1026
TeX                              1             14              0            138
Markdown                         2             39              0            125
YAML                             4             13              9             83
reStructuredText                 7             89             93             79
TOML                             1             13              0             54
-------------------------------------------------------------------------------
SUM:                            52            820           9310           4580
-------------------------------------------------------------------------------

Commit count by author:

    41	srigas
    28	Spyros
    15	Spyros Rigas
     9	mixpap
     1	Dhanush Kovi

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1090

✅ The paper includes a Statement of need section

[editorialbot]

⚠️ An error happened when generating the pdf.

[editorialbot]

License info:

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

[editorialbot]

⚠️ An error happened when generating the pdf.

[srigas]

Thank you for adding our work in pre-review, we look forward to collaborating with you in any way necessary to ensure a flawless review process! :)

The editorialbot failed to generate the paper at its first try, possibly due to a misidentation in the paper.md metadata, which we missed because compilation had no issues in our GitHub Actions automations. Nonetheless, it should work now.

As for possible reviewers, I'm afraid I do not have anyone in particular in mind, as I was only recently introduced to JOSS!

[srigas]

@editorialbot generate pdf

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[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]

@editorialbot query scope

👋 @srigas - I am going to run this one by our larger editorial board for review to ensure that it meets our requirements. I'll be back in touch ASAP. Thanks

[editorialbot]

Submission flagged for editorial review.

[srigas]

@crvernon By all means! In the process, let me know if there's anything I can help in clarifying.

[crvernon]

@srigas - we are going to move this one forward into review. I'll find you a topic editor ASAP. Thanks for your patience!

[crvernon]

@editorialbot invite @fabian-s as editor

👋 @fabian-s - can you take this one on as editor?

[editorialbot]

Invitation to edit this submission sent!

[fabian-s]

@editorialbot add fabian-s as editor

[editorialbot]

Assigned! fabian-s is now the editor

[fabian-s]

👋 @kazewong @daniel-dodd @jeremiecoullon @KindXiaoming

would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

[fabian-s]

@editorialbot check references

[editorialbot]

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

✅ OK DOIs

- 10.1016/j.cma.2024.117290 is OK
- 10.1109/ACCESS.2024.3504962 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: KAN: Kolmogorov-Arnold Networks
- No DOI given, and none found for title: Flax: A neural network library and ecosystem for J...
- No DOI given, and none found for title: The DeepMind JAX Ecosystem
- No DOI given, and none found for title: Chebyshev Polynomial-Based Kolmogorov-Arnold Netwo...
- No DOI given, and none found for title: FourierKAN
- No DOI given, and none found for title: An Efficient Implementation of Kolmogorov-Arnold N...
- No DOI given, and none found for title: Kolmogorov-Arnold Networks (KANs)
- No DOI given, and none found for title: PyTorch: An Imperative Style, High-Performance Dee...
- No DOI given, and none found for title: NeuroMANCER: Neural Modules with Adaptive Nonlinea...
- No DOI given, and none found for title: Finite basis Kolmogorov-Arnold networks: domain de...
- No DOI given, and none found for title: Multifidelity Kolmogorov-Arnold Networks
- No DOI given, and none found for title: SPIKANs: Separable Physics-Informed Kolmogorov-Arn...

❌ MISSING DOIs

- 10.1016/j.cma.2022.115671 may be a valid DOI for title: A comprehensive study of non-adaptive and residual...

❌ INVALID DOIs

- None

[fabian-s]

@srigas
while I try to rustle up some reviewers for this, please take a look at the DOI the bot found (see above) and see if it's the right one for your reference.
if so, please add it to your bib-file.

[srigas]

@srigas - we are going to move this one forward into review. I'll find you a topic editor ASAP. Thanks for your patience!

Sure, let me know if there's anything I can do to streamline the process on my end!

[srigas]

@editorialbot generate pdf

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

Five most similar historical JOSS papers:

SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms
Submitting author: @jeremiecoullon
Handling editor: @dfm (Active)
Reviewers: @canyon289, @ColCarroll
Similarity score: 0.6688

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
Submitting author: @pswpswpsw
Handling editor: @olexandr-konovalov (Active)
Reviewers: @ulf1, @fandreuz
Similarity score: 0.6687

PyKronecker: A Python Library for the Efficient Manipulation of Kronecker Products and Related Structures
Submitting author: @nickelnine37
Handling editor: @Kevin-Mattheus-Moerman (Active)
Reviewers: @JulianKarlBauer, @nicoguaro
Similarity score: 0.6678

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Submitting author: @Edenhofer
Handling editor: @dfm (Active)
Reviewers: @Abinashbunty, @apizzuto
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Submitting author: @kazewong
Handling editor: @rkurchin (Active)
Reviewers: @matt-graham, @Daniel-Dodd
Similarity score: 0.6589

⚠️ 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.

[srigas]

@srigas while I try to rustle up some reviewers for this, please take a look at the DOI the bot found (see above) and see if it's the right one for your reference. if so, please add it to your bib-file.

@fabian-s Thank you, that was an omission on my part, I fixed it! 👍🏻

[kazewong]

Thanks for the suggestion but I won't be available for review until late February.

[jeremiecoullon]

Hello! Unfortunately I'm not free to work on this review

[fabian-s]

👋 @daniel-dodd @KindXiaoming @canyon289 @ColCarroll

would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

[fabian-s]

👋 @daniel-dodd @KindXiaoming @canyon289 @ColCarroll

would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

Even if not, it would be kind of you to reply so I can ask somebody else.

[fabian-s]

@kazewong would you still be willing to review this? as you can see we have a hard time finding competent reviewers for this...

[kazewong]

@fabian-s I should be able to review this repo. Just keep in mind I have another ongoing JOSS review so the turn around time will be a bit longer.

[fabian-s]

@kazewong that's fine, thanks!

[fabian-s]

@editorialbot add @kazewong as reviewer

[editorialbot]

Can't add reviewers: There is no editor assigned yet

[fabian-s]

@editorialbot add @fabian-s as editor

[editorialbot]

Assigned! @fabian-s is now the editor

[fabian-s]

@editorialbot add @kazewong as reviewer

[editorialbot]

@kazewong added to the reviewers list!

[kazewong]

@editorialbot generate my checklist

[editorialbot]

Checklists can only be created once the review has started in the review issue

[ColCarroll]

hey @fabian-s -- I can review. apologies for the slow response!

[fabian-s]

@editorialbot add @ColCarroll as reviewer

[editorialbot]

@ColCarroll added to the reviewers list!

[fabian-s]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #7830.