[PRE REVIEW]: ISL: A Julia package for training Implicit Generative Models via an Invariant Statistical Loss

[editorialbot]

Submitting author: !--author-handle-->@https://github.com/josemanuel22<!--end-author-handle-- (José Manuel de Frutos) Repository: https://github.com/josemanuel22/ISL Branch with paper.md (empty if default branch): Version: v0.1.0 Editor: !--editor-->@bmcfee<!--end-editor-- Reviewers: @ziyiyin97, @odunbar Managing EiC: Chris Vernon

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.07 s (497.5 files/s, 317267.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
CSV                              1              0              0          17421
Julia                           18            752           1095           3027
Markdown                         6            172              0            479
TeX                              1             53              0            387
YAML                             6              8              9            123
TOML                             4              4              0             47
SVG                              1              0              1             20
-------------------------------------------------------------------------------
SUM:                            37            989           1105          21504
-------------------------------------------------------------------------------

Commit count by author:

   329  josemanuel22
    33  José Manuel de Frutos
    21  José Manuel Frutos

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1031

✅ The paper includes a Statement of need section

[editorialbot]

License info:

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

[editorialbot]

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

OK DOIs

- 10.1080/00031305.2017.1380080 is OK

MISSING DOIs

- No DOI given, and none found for title: On the performance of particle filters with adapti...
- No DOI given, and none found for title: Enhancing the Locality and Breaking the Memory Bot...
- 10.1109/tsp.2016.2637324 may be a valid DOI for title: Adapting the number of particles in sequential Mon...
- 10.1109/icassp.2016.7472504 may be a valid DOI for title: Online adaptation of the number of particles of SM...
- No DOI given, and none found for title: GAN connoisseur: Can GANs learn simple 1D parametr...
- No DOI given, and none found for title: Generative adversarial nets
- No DOI given, and none found for title: Generalization and equilibrium in generative adver...
- No DOI given, and none found for title: Wasserstein generative adversarial networks
- No DOI given, and none found for title: MMD GAN: Towards deeper understanding of moment ma...
- No DOI given, and none found for title: Do GANs actually learn the distribution? an empiri...
- 10.1109/iccv.2019.00456 may be a valid DOI for title: Learning implicit generative models by matching pe...
- No DOI given, and none found for title: Probability and Measure
- No DOI given, and none found for title: f-GAN: Training generative neural samplers using v...
- No DOI given, and none found for title: Adversarial variational bayes: Unifying variationa...
- No DOI given, and none found for title: Generative moment matching networks
- No DOI given, and none found for title: A kernel two-sample test
- No DOI given, and none found for title: Function-space inference with sparse implicit proc...
- 10.1214/aoms/1177729394 may be a valid DOI for title: Remarks on a multivariate transformation
- No DOI given, and none found for title: Probabilistic time series forecasting with implici...
- No DOI given, and none found for title: Multivariate Probabilistic Time Series Forecasting...
- No DOI given, and none found for title: Deep State Space Models for Time Series Forecastin...
- No DOI given, and none found for title: Temporal Regularized Matrix Factorization for High...
- No DOI given, and none found for title: Time Series Analysis: Forecasting and Control, 5th...
- No DOI given, and none found for title: Autoregressive Denoising Diffusion Models for Mult...
- No DOI given, and none found for title: Do GANs learn the distribution? some theory and em...
- No DOI given, and none found for title: Deep autoregressive models with spectral attention
- No DOI given, and none found for title: Training generative neural networks via maximum me...
- No DOI given, and none found for title: Nonparametric density estimation & convergence rat...
- 10.1016/j.ijforecast.2019.07.001 may be a valid DOI for title: DeepAR: Probabilistic forecasting with autoregress...
- No DOI given, and none found for title: ElectricityLoadDiagrams20112014
- No DOI given, and none found for title: Enhancing the locality and breaking the memory bot...
- 10.1109/tsp.2010.2053707 may be a valid DOI for title: Assessment of nonlinear dynamic models by Kolmogor...
- No DOI given, and none found for title: Independent random sampling methods
- No DOI given, and none found for title: Adam: A method for stochastic optimization
- No DOI given, and none found for title: Improved techniques for training GANs
- No DOI given, and none found for title: Spectral normalization for generative adversarial ...
- No DOI given, and none found for title: Learning in implicit generative models
- No DOI given, and none found for title: 30 Years of European Wind Generation
- No DOI given, and none found for title: Gluonts: Probabilistic and neural time series mode...
- 10.1609/aaai.v35i12.17325 may be a valid DOI for title: Informer: Beyond efficient transformer for long se...
- No DOI given, and none found for title: Autoformer: Decomposition transformers with auto-c...
- 10.1609/aaai.v37i9.26317 may be a valid DOI for title: Are transformers effective for time series forecas...
- 10.1109/cvpr.2018.00367 may be a valid DOI for title: Generative modeling using the sliced wasserstein d...
- No DOI given, and none found for title: On the measure of Voronoi cells
- No DOI given, and none found for title: Understanding and contextualising diffusion models
- No DOI given, and none found for title: Training Implicit Generative Models via an Invaria...

INVALID DOIs

- None

[editorialbot]

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

[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 invite @bmcfee as editor

:wave: @bmcfee - can you take this one on as editor?

[editorialbot]

Invitation to edit this submission sent!

[bmcfee]

Sure, i can edit this one. I'm currently traveling, but will be back in the office on Friday and can get on with the reviewer search.

[danielskatz]

@editorialbot assign @bmcfee as editor

(you can do this yourself, too)

[editorialbot]

Assigned! @bmcfee is now the editor

[bmcfee]

Back at a proper keyboard now and not trying to wrangle github responses with a toddler in hand. :) Reviewer invitations are flying through the ether now.

@josemanuel22 while we're working on finding reviewers, it would be helpful if you could fix the references section for the paper. Reviewers will ask for / need this anyway, so we may as well get out ahead of it.

[bmcfee]

@editorialbot add @ziyiyin97 as reviewer

[editorialbot]

@ziyiyin97 added to the reviewers list!

[josemanuel22]

Back at a proper keyboard now and not trying to wrangle github responses with a toddler in hand. :) Reviewer invitations are flying through the ether now.

@josemanuel22 while we're working on finding reviewers, it would be helpful if you could fix the references section for the paper. Reviewers will ask for / need this anyway, so we may as well get out ahead of it.

I apologize for the delay; for some reason, I didn't receive the ping on GitHub. OK, I'll do it.

[josemanuel22]

@bmcfee I'm sorry to bother you; this is the first time I've submitted something to JOSS. What is the current status of this?

[crvernon]

@bmcfee - what is you status on getting another review assigned and getting this one kicked off into full review?

[bmcfee]

Still working on getting a second reviewer (been sidelined with beginning of school year onslaught this week!) - hoping to have it moving within the next few days.

[bmcfee]

@editorialbot add @odunbar as reviewer

[editorialbot]

@odunbar added to the reviewers list!

[bmcfee]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/7272.