[Lisa_seminaires] [Lisa_labo] Fwd: Connectionists: The ReScience journal

David Krueger david.scott.krueger at gmail.com
Sam 5 Sep 19:03:15 EDT 2015


To what extent can this be remedied by using aws or similar?
On Sep 5, 2015 7:00 PM, "David Warde-Farley" <d.warde.farley at gmail.com>
wrote:

> Very encouraging to see this happening and that other people are
> concerned about it.
>
> I would add that reproducibility in machine learning looks simple
> compared to other scientific domains, but looks are deceiving. Every
> "simple Python script" is built upon a broad and deep tower of library
> dependencies, leading to an exponential number of ways that your
> computing environment can conspire against you (nevermind hardware
> differences...).
>
> On Sat, Sep 5, 2015 at 6:35 PM, Yoshua Bengio
> <yoshua.umontreal at gmail.com> wrote:
> >
> > Very interesting!
> > Reproducibility is VERY weak in the machine learning community, and
> needs to
> > be improved.
> >
> > ---------- Forwarded message ----------
> > From: Nicolas P. Rougier <Nicolas.Rougier at inria.fr>
> > Date: 2015-09-03 8:57 GMT-04:00
> > Subject: Connectionists: The ReScience journal
> > To: Connectionists group <connectionists at cs.cmu.edu>
> >
> >
> >
> > It's our great pleasure to announce the creation of "ReScience" which is
> a
> > peer-reviewed journal that targets computational research and encourages
> the
> > explicit replication of already published research, promoting new and
> > open-source implementations in order to ensure that the original
> research is
> > reproducible.
> >
> > To achieve such a goal, the whole editing chain is radically different
> from
> > any other traditional scientific journal. ReScience lives on GitHub where
> > each new implementation is made available together with comments,
> > explanations and tests. Each submission takes the form of a pull request
> > that is publicly reviewed and tested in order to guarantee that any
> > researcher can re-use it.
> >
> > Students are strongly encourage to submit to ReScience. Even if the
> > publishing model is a bit different from other academic journals, this
> will
> > give them a first experience at peer-reviewed publishing where they have
> to
> > use a rigorous and scientific approach.
> >
> >         • More on the journal website:
> > https://github.com/ReScience/ReScience/wiki
> >         • Current issue:
> > https://github.com/ReScience/ReScience/wiki/Current-Issue
> >         • FAQ:
> > https://github.com/ReScience/ReScience/wiki/Frequently-Asked-Questions
> >         • Follow us on twitter (@ReScienceEds):
> > https://twitter.com/rescienceeds
> >
> > And if you're familiar with Git and GitHub, you can also become a
> reviewer:
> > just contact us.
> >
> >
> > Konrad Hinsen & Nicolas Rougier
> >
> >
> > _______________________________________________
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> >
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