[PRE REVIEW]: Effortless Bayesian Deep Learning in Julia through Laplace

[whedon]

Submitting author: @pat-alt (Patrick Altmeyer)
Repository: https:/pat-alt/LaplaceRedux.jl
Branch with paper.md (empty if default branch):
Version:
Editor: @matbesancon
Reviewers:
Managing EiC: Mathieu Besançon

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Failed to discover a Statement of need section in paper

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Wordcount for paper.tex is 1121

[whedon]

Software report (experimental):

github.com/AlDanial/cloc v 1.88  T=0.20 s (239.8 files/s, 70542.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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TOML                             9            944              4           4267
TeX                             11            521            193           4230
HTML                             1            246              2           2523
Julia                           12            145             43            485
Markdown                         9            103              0            236
YAML                             5              0              2            118
Ruby                             1              8              4             45
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SUM:                            48           1967            248          11904
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Statistical information for the repository '76a2d5347f256254fd7c71b0' was
gathered on 2022/10/27.
The following historical commit information, by author, was found:

Author                     Commits    Insertions      Deletions    % of changes
pat-alt                          1            57              0          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
pat-alt                      57          100.0          0.0                7.02

[whedon]

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

[whedon]

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

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INVALID DOIs

- None

[carstenbauer]

@whedon assign @ranjanan as editor

[whedon]

OK, the editor is @ranjanan

[pat-alt]

Just to flag that I've since added various updates to the package and will add those to the draft paper where necessary as soon as possible.

[ranjanan]

@pat-alt please let me know when you're satisfied with your draft and I'm happy to remove this label. I am also look for reviewers for this. If you've suggestions, ping me privately on Slack with names and I can reach out to them

[pat-alt]

Thanks @ranjanan 👍 I'm on holiday this week, but will turn to this next week and get back to you

[pat-alt]

@ranjanan sorry for the delay, have been caught up in work on two other submissions. I'm happy with the draft now. Please see 6f692bd for the up-to-date version.

I have many further improvements for the package in mind, but this will take more time (and hopefully community contributions 😄).

[pat-alt]

@whedon generate pdf

[whedon]

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

[pat-alt]

Also, as mentioned elsewhere, there is some JuliaCon/JuliaConSubmission.jl#31 with listing captions. I have simply refrained from using captions for now, but this messes up the cross-references, so that definitely needs editing.

[pat-alt]

@ranjanan hope you're well!

I'm aware you're in the midst of planning JuliaCon 2023, but is there anything I can do to accelerate this process? Happy to openly ask for reviewers on discourse, slack and my socials if that's acceptable.

We currently have a group of TU Delft students working on this package full time for >2 months, so there have already been substantial updates. By the end of that it may well be worth turning this abstract into a full paper. Would that still be possible?

Please let me know if I can help in any way, would be great to see this move forward 😃

[matbesancon]

@whedon assign @matbesancon as editor

[whedon]

OK, the editor is @matbesancon

[matbesancon]

@pat-alt will reach out on Slack :)

[matbesancon]

Current status is on pause while authors refactor some parts

[pat-alt]

@whedon generate pdf

[whedon]

PDF failed to compile for issue #101 with the following error:

 /app/vendor/ruby-2.6.6/lib/ruby/2.6.0/psych.rb:577:in `initialize': No such file or directory @ rb_sysopen - 8bce03953c19685321221aa1/paper/src/paper.yml (Errno::ENOENT)
	from /app/vendor/ruby-2.6.6/lib/ruby/2.6.0/psych.rb:577:in `open'
	from /app/vendor/ruby-2.6.6/lib/ruby/2.6.0/psych.rb:577:in `load_file'
	from /app/vendor/bundle/ruby/2.6.0/bundler/gems/whedon-c5c16aedb3d6/lib/whedon.rb:125:in `load_yaml'
	from /app/vendor/bundle/ruby/2.6.0/bundler/gems/whedon-c5c16aedb3d6/lib/whedon.rb:87:in `initialize'
	from /app/vendor/bundle/ruby/2.6.0/bundler/gems/whedon-c5c16aedb3d6/lib/whedon/processor.rb:38:in `new'
	from /app/vendor/bundle/ruby/2.6.0/bundler/gems/whedon-c5c16aedb3d6/lib/whedon/processor.rb:38:in `set_paper'
	from /app/vendor/bundle/ruby/2.6.0/bundler/gems/whedon-c5c16aedb3d6/bin/whedon:66:in `prepare'
	from /app/vendor/bundle/ruby/2.6.0/gems/thor-0.20.3/lib/thor/command.rb:27:in `run'
	from /app/vendor/bundle/ruby/2.6.0/gems/thor-0.20.3/lib/thor/invocation.rb:126:in `invoke_command'
	from /app/vendor/bundle/ruby/2.6.0/gems/thor-0.20.3/lib/thor.rb:387:in `dispatch'
	from /app/vendor/bundle/ruby/2.6.0/gems/thor-0.20.3/lib/thor/base.rb:466:in `start'
	from /app/vendor/bundle/ruby/2.6.0/bundler/gems/whedon-c5c16aedb3d6/bin/whedon:131:in `<top (required)>'
	from /app/vendor/bundle/ruby/2.6.0/bin/whedon:23:in `load'
	from /app/vendor/bundle/ruby/2.6.0/bin/whedon:23:in `<main>'

[pat-alt]

@whedon generate pdf

[whedon]

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

[pat-alt]

Following discussions on Slack, I have now updated the paper. It is still just an extended abstract but now up-to-date. Thanks for your advice @matbesancon - this is now ready for review from my side.

Small note: since the package was originally presented in 2022, the header still states that year (happy to adjust that if necessary)

[pat-alt]

The package is now compatible with CounterfactualExplanations.jl and it might be interesting to add another paragraph about this interplay. But I'm currently at exactly 2 pages, which I believe is the maximum length for extended abstracts?

[matbesancon]

@editorialbot generate pdf

[editorialbot]

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

[matbesancon]

it might be interesting to add another paragraph about this interplay. But I'm currently at exactly 2 pages

yes indeed, we try to keep the extended abstract a summary of the package, as opposed to a proceeding which contains more explanation on the package, its usage, the methods underlying it