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  • From: Gunther M Roland <rolandg AT mit.edu>
  • To: "sphenix-l AT lists.bnl.gov" <sphenix-l AT lists.bnl.gov>
  • Subject: [[Sphenix-l] ] Fwd: Fast ML 2024 @Purdue: Open for Abstract Submission and Registration !
  • Date: Thu, 15 Aug 2024 09:39:12 +0000

FYI

---------- Forwarded message ---------
From: Mia Liu <miaoyuan.liu0 AT gmail.com>
Date: Thu, Jul 25, 2024 at 4:20 PM
Subject: Fast ML 2024 @Purdue: Open for Abstract Submission and Registration !
To: <hn-cms-machine-learning AT cern.ch>
 
Dear all, 
We are pleased to announce that Fast Machine Learning for Science at Purdue University from October 15-18, 2024, is now open for abstract submission and registration. The first three days will be workshop-style with invited and contributed talks. The last day will be dedicated to technical demonstrations and satellite meetings. The event will be hybrid with an in-person, on-site venue and the possibility to join virtually.  

 

The indico page of the meeting is available at:

 

The abstract submission deadline is September 16, 2024. In addition to standard and lightning talks, we also offer an additional poster option for accepted lighting talks (4 min+1 min Q&A)
Registration details:
Once your registration is confirmed, please follow the link in the email to pay the registration fee. Your registration will be marked as complete within a day or two.
Accommodation:
Oct 18 is Purdue Home Game Day, and the hotels will be quite occupied. We strongly recommend booking your accommodations as early as possible to avoid any inconvenience. You can find details on travel and accommodation here: 
Please consider staying in hotels further from campus ( they are all within a 15/20 minute drive) if you have access to a car, so we have more availability in hotels near campus (within walking distance) for participants without a car.

Best regards,
Local organizing Committee:
Mia Liu (Chair)
Maria Dadarlat (Co-chair) 
Andy Jung
Norbert Neumeister 
Wei Xie
Paul Duffel
Haitong Li
Guang Ling
Eugenio Culurciello 
Yong Chen
Alexandra Boltasseva 
Laimei Nie


Scientific Committee:
Thea Aarrestad (ETH Zurich)
Javier Duarte (UCSD)
Phil Harris (MIT)
Burt Holzman (Fermilab)
Scott Hauck (U. Washington)
Shih-Chieh Hsu (U. Washington)
Sergo Jindariani (Fermilab)
Mia Liu (Purdue University)
Allison McCarn Deiana (Southern Methodist University)
Mark Neubauer (U. Illinois Urbana-Champaign)
Jennifer Ngadiuba (Fermilab)
Maurizio Pierini (CERN)
Sioni Summers (CERN)
Alex Tapper (Imperial)
Verena Martinez Outschoorn (UMass Amherst)



  • [[Sphenix-l] ] Fwd: Fast ML 2024 @Purdue: Open for Abstract Submission and Registration !, Gunther M Roland, 08/15/2024

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