Reproducibility Report of "Learning Neural PDE Solvers with Convergence Guarantees"
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Original article: Learning Neural PDE Solvers with Convergence Guarantees (https://openreview.net/forum?id=rklaWn0qK7)
PDF URL: https://github.com/reproducibility-challenge/iclr_2019/blob/master/papers/zoidberg-rklaWn0qK7/zoidberg_camera_ready.pdf
Metadata URL: https://github.com/reproducibility-challenge/iclr_2019/blob/master/papers/zoidberg-rklaWn0qK7/rescience_report/metadata-draft.yaml
Code URL: https://zenodo.org/record/2660730
Scientific domain: Machine Learning
Programming language: Python
Suggested editor: ICLR Reproducibility Challenge Editors
Corresponding Author: @francescobardi
Challenge PR: reproducibility-challenge/iclr_2019#136
@francescobardi Can you use the latest rescience template to make sure to use the proper font. Also, you'll need to edit the metadata (editorial -> replication), reviewer is "anonymous", volume is 5, issue is 2. Also, make sure URL displya properly in the bottom of first page.
Also, the title of the replication must be "[Re] original title" (this will helps people searching for the original article to find yours as well)
@rougier fixed the issues (metadata, volume and url display)
Thanks. For the title, maybe you can replace the type by "ICLR Reproducibility Challenge 2019" (instead of replication) and remove it from the title. For the editor, we need some name, can you put your name ?
updated, also sent you the raw latex source
I'm editing the article and I would need the code DOI (if not available can you ask the authors to deposit an archive on Zenodo and to communicate the DOI?)
Can you check eveyrhting is ok (but the code DOI): https://www.dropbox.com/s/a64uscxmv7n2dav/article-3.pdf?dl=0
You can access it at: https://github.com/rougier/ICLR-2019/tree/master/article-3
Looks good to me!
@koustuvsinha For this one the code DOI is still missing.
Hi @rougier , the code DOI for this project is https://zenodo.org/record/2660730