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[PRE REVIEW]: Effortless Bayesian Deep Learning in Julia through Laplace #101
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. 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:
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OK, the editor is @ranjanan |
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. |
@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 |
Thanks @ranjanan 👍 I'm on holiday this week, but will turn to this next week and get back to you |
@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 😄). |
@whedon generate pdf |
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. |
@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 😃 |
@whedon assign @matbesancon as editor |
OK, the editor is @matbesancon |
@pat-alt will reach out on Slack :) |
Current status is on pause while authors refactor some parts |
@whedon generate pdf |
PDF failed to compile for issue #101 with the following error:
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@whedon generate pdf |
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) |
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? |
@editorialbot generate pdf |
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 |
@matbesancon thought I'd check in on this. Anything I can do to help find a reviewer for this? I can think of a few collaborators at Taija but perhaps that's not ideal? |
I'll drop you a DM |
@editorialbot add @cpfiffer as reviewer |
@cpfiffer added to the reviewers list! |
I've gone through this and don't have any substantive notes -- what should I do now? |
Submitting author: @pat-alt (Patrick Altmeyer)
Repository: https://github.com/pat-alt/LaplaceRedux.jl
Branch with paper.md (empty if default branch):
Version:
Editor: @matbesancon
Reviewers: @cpfiffer
Managing EiC: Mathieu Besançon
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The author's suggestion for the handling editor is @ranjanan.
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