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[PRE REVIEW]: hessQuik: Fast Hessian computation of composite functions #4146

Closed whedon closed 2 years ago

whedon commented 2 years ago

Submitting author: @elizabethnewman (Elizabeth Newman) Repository: https://github.com/elizabethnewman/hessQuik Version: v0.0.1 Editor: @jbytecode Reviewers: @GregaVrbancic, @yhtang Managing EiC: Kristen Thyng

:warning: JOSS reduced service mode :warning:

Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.

Status

status

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Markdown: [![status](https://joss.theoj.org/papers/126dc76c56d70524ac58b47a9bee7460/status.svg)](https://joss.theoj.org/papers/126dc76c56d70524ac58b47a9bee7460)

Author instructions

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

@elizabethnewman if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

Editor instructions

The JOSS submission bot @whedon is here to help you find and assign reviewers and start the main review. To find out what @whedon can do for you type:

@whedon commands
whedon commented 2 years ago

Hello human, I'm @whedon, a robot that can help you with some common editorial tasks.

:warning: JOSS reduced service mode :warning:

Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.

For a list of things I can do to help you, just type:

@whedon commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@whedon generate pdf
whedon commented 2 years ago

Wordcount for paper.md is 2045

whedon commented 2 years ago
Software report (experimental):

github.com/AlDanial/cloc v 1.88  T=0.07 s (768.6 files/s, 70540.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          37            717            243           1811
Jupyter Notebook                 3              0            388            775
Markdown                         9            106              3            316
TeX                              1             29              0            201
-------------------------------------------------------------------------------
SUM:                            50            852            634           3103
-------------------------------------------------------------------------------

Statistical information for the repository '608527bc1f18afe7cf6c50c9' was
gathered on 2022/02/10.
The following historical commit information, by author, was found:

Author                     Commits    Insertions      Deletions    % of changes
elizabethnewman                128          6362           3591          100.00

Below are the number of rows from each author that have survived and are still
intact in the current revision:

Author                     Rows      Stability          Age       % in comments
elizabethnewman            2771           43.6          1.4                6.35
whedon commented 2 years ago
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.1109/CVPR.2016.90 is OK
- 10.1109/EuroSP.2016.36 is OK
- 10.1007/978-1-4842-4470-8_7 is OK
- 10.1137/1.9781611973808 is OK
- 10.1073/pnas.1922204117 is OK
- 10.1137/07070111X is OK
- 10.1007/s40304-017-0103-z is OK
- 10.1088/1361-6420/aa9a90 is OK
- 10.1073/pnas.1916634117 is OK

MISSING DOIs

- 10.1002/gamm.202100008 may be a valid DOI for title: An Introduction to Deep Generative Modeling
- 10.1109/cvpr.2016.90 may be a valid DOI for title: Deep residual learning for image recognition
- 10.1016/j.jcp.2018.10.045 may be a valid DOI for title: Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

INVALID DOIs

- None
whedon commented 2 years ago

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

kthyng commented 2 years ago

Hi @jbytecode! Is this a reasonable fit for you?

kthyng commented 2 years ago

@whedon invite @jbytecode as editor

whedon commented 2 years ago

@jbytecode has been invited to edit this submission.

sara-02 commented 2 years ago

@jbytecode I am interested in reviewing this.

jbytecode commented 2 years ago

@whedon assign me as editor

of course @kthyng, thank you.

whedon commented 2 years ago

OK, the editor is @jbytecode

jbytecode commented 2 years ago

Dear @elizabethnewman

do you have any suggestions for potential reviewers?

You can use the list of potential reviewers with the proper preferred language and interest.

Please start your search from the bottom of the list so we can invite newly registered reviewers as possible.

Thank you in advance.

elizabethnewman commented 2 years ago

Dear @jbytecode,

Thank you for your fast response! Here is a list of potential reviewers:

Please let me know if you need any additional information.

jbytecode commented 2 years ago

πŸ‘‹πŸ‘‹πŸ‘‹ Dear @jamiehadd πŸ‘‹πŸ‘‹πŸ‘‹

Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)?

JOSS publishes articles about open source research software. The submission I'd like you to review is titled: "hessQuik: Fast Hessian computation of composite functions". You can find more information at the top of this Github issue (https://github.com/openjournals/joss-reviews/issues/4146).

The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know.

jbytecode commented 2 years ago

πŸ‘‹πŸ‘‹πŸ‘‹ Dear @jdmoorman πŸ‘‹πŸ‘‹πŸ‘‹

Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)?

JOSS publishes articles about open source research software. The submission I'd like you to review is titled: "hessQuik: Fast Hessian computation of composite functions". You can find more information at the top of this Github issue (https://github.com/openjournals/joss-reviews/issues/4146).

The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know.

jbytecode commented 2 years ago

πŸ‘‹πŸ‘‹πŸ‘‹ Dear @GregaVrbancic πŸ‘‹πŸ‘‹πŸ‘‹

Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)?

JOSS publishes articles about open source research software. The submission I'd like you to review is titled: "hessQuik: Fast Hessian computation of composite functions". You can find more information at the top of this Github issue (https://github.com/openjournals/joss-reviews/issues/4146).

The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know.

GregaVrbancic commented 2 years ago

@jbytecode sure, I can review this submission.

jbytecode commented 2 years ago

@whedon add @GregaVrbancic as reviewer

Dear @GregaVrbancic thank you for the quick response. I am assigning you as the first reviewer.

The reviewing process will start after I set a second reviewer. Please keep in touch.

whedon commented 2 years ago

OK, @GregaVrbancic is now a reviewer

jbytecode commented 2 years ago

πŸ‘‹πŸ‘‹πŸ‘‹ Dear @yhtang πŸ‘‹πŸ‘‹πŸ‘‹

Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)?

JOSS publishes articles about open source research software. The submission I'd like you to review is titled: "hessQuik: Fast Hessian computation of composite functions". You can find more information at the top of this Github issue (https://github.com/openjournals/joss-reviews/issues/4146).

The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know.

yhtang commented 2 years ago

@jbytecode With pleasure!

jbytecode commented 2 years ago

@whedon add @yhtang as reviewer

Dear @yhtang,

Thank you for accepting our invitation. We have now two reviewers so I can start the reviewing. Whenever the editorial bot starts the review, a new Github issue will be created. I will present the required instructions there.

whedon commented 2 years ago

OK, @yhtang is now a reviewer

jbytecode commented 2 years ago

@whedon start review

whedon commented 2 years ago

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/4171.