Fwd: "Graph Neural Networks for Reconstruction" topical meeting , Friday 4 Dec 2020 at 13:00 EST / 10:00 PST

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Caterina Doglioni

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Dec 3, 2020, 5:04:07 PM12/3/20
to HSF event reconstruction and software trigger working group
Hi all,

See below for an interesting topical meeting tomorrow from the CLARIPHY Community Laboratory on graph neural network for reconstruction (the second talk is by one of the Exa.TrkX collaboration members, whose code can be found at this repository [1]). 

Cheers,
Caterina, with David and Agnieszka


Begin forwarded message:

From: Peter Elmer <Peter...@cern.ch>
Subject: "Graph Neural Networks for Reconstruction" topical meeting , Friday 4 Dec 2020 at 13:00 EST / 10:00 PST
Date: 3 December 2020 at 21:44:01 GMT

 Hi All,

 We are pleased the next topical meeting in a new series of Physics/AI/ML
related seminars and talks. This will take place tomorrow (Friday, 4 December,
2020) at 13:00 EST / 12:00 CST / 10:00 PST. We will have two talks
covering R&D into the use of Graph Neural Networks (GNNs) for Reconstruction:

    Graph Neural Networks for Reconstruction in DUNE
         - Jeremy Hewes (University of Cincinnati)
    Graph Neural Networks for Reconstruction at the LHC
         - Savannah Thais (Princeton University)

 The indico agenda page is:

   https://indico.fnal.gov/event/46736/

and the zoom connection is:

   https://fnal.zoom.us/j/99935837979?pwd=ZmNWcjdoOEdzMTRzMW5LajNNMTBNUT09
   [Note: passcode is 444734]

  As noted above, this topical meeting is part of a series that we are
organizing through a new community organization: the Community Laboratory
for AI Research at the Intersection with Physics (CLARIPHY), with
website https://clariphy.org. For the coming period we will announce the
talks and seminars on various lists, but from January onwards we will move
a dedicated mailing list. Please feel free to subscribe:

  CLARIPHY announcements mailing list
  https://groups.google.com/a/clariphy.org/forum/#!forum/announcements

                                cheers,
                                  Peter

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