[PRE REVIEW]: RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness

[editorialbot]

Submitting author: !--author-handle-->@nic-barbara<!--end-author-handle-- (Nicholas Barbara) Repository: https://github.com/acfr/RobustNeuralNetworks.jl Branch with paper.md (empty if default branch): paper Version: v0.3.2 Editor: !--editor-->@lucaferranti<!--end-editor-- Reviewers: Pending Managing EiC: Mathieu Besançon

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.15 s (621.9 files/s, 136202.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
SVG                             11              0              1          10174
TeX                             16            416            210           3159
Julia                           40            856            841           2113
Markdown                        16            551              0           1591
YAML                             5              2              2            122
TOML                             3              5              0             50
Ruby                             1              8              4             45
-------------------------------------------------------------------------------
SUM:                            92           1838           1058          17254
-------------------------------------------------------------------------------

Commit count by author:

   265  nic-barbara
    72  nicBarbara
    12  CompatHelper Julia
    12  MrstupidJ
    10  Johnny Cheng
     5  Jerome Justin
     4  Eccidio Eliott
     4  Nic Barbara
     2  johnnyCheng09
     2  yuruizhang06

[editorialbot]

Paper file info:

📄 Wordcount for paper.tex is 162

🔴 Failed to discover a Statement of need section in paper

[editorialbot]

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

OK DOIs

- 10.1109/TAC.2022.3183966 is OK
- 10.1109/CDC51059.2022.9992684 is OK
- 10.1109/ICRA48506.2021.9561814 is OK
- 10.1109/TAC.1971.1099826 is OK
- 10.1109/CVPR.2016.90 is OK
- 10.1137/141000671 is OK
- 10.21105/joss.00602 is OK
- 10.1109/CDC49753.2023.10383269 is OK
- 10.1109/CDC49753.2023.10383704 is OK
- 10.1109/TAC.1976.1101223 is OK
- 10.1109/LCSYS.2021.3050444 is OK
- 10.1109/LCSYS.2022.3184847 is OK
- 10.1109/TAC.2023.3294101 is OK
- 10.23919/ACC50511.2021.9483025 is OK
- 10.23919/ACC53348.2022.9867842 is OK

MISSING DOIs

- No DOI given, and none found for title: Lipschitz constant estimation for 1D convolutional...
- No DOI given, and none found for title: ReinforcementLearning.jl: A Reinforcement Learning...
- No DOI given, and none found for title: MNIST handwritten digit database
- No DOI given, and none found for title: Don’t Unroll Adjoint: Differentiating SSA-Form Pro...
- No DOI given, and none found for title: Direct Parameterization of Lipschitz-Bounded Deep ...
- No DOI given, and none found for title: Contraction Theory for Dynamical Systems
- No DOI given, and none found for title: Adversarial attacks on neural network policies
- No DOI given, and none found for title: Adam: A method for stochastic optimization
- No DOI given, and none found for title: Reinforcement Learning: An Introduction
- No DOI given, and none found for title: LipsNet: A Smooth and Robust Neural Network with A...

INVALID DOIs

- None

[editorialbot]

License info:

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

[editorialbot]

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

[lucaferranti]

@editorialbot assign @lucaferranti as editor

[editorialbot]

Assigned! @lucaferranti is now the editor

[lucaferranti]

Hi @nic-barbara :wave: , I'll be the editor for this submission.

I'll try to find reviewers ASAP for this

[nic-barbara]

Thanks @lucaferranti, please let me know if I need to do anything in the mean time.