Advanced Workshop on Accelerating the Search for Dark Matter with Machine Learning | (smr 3280)
Starts 8 Apr 2019
Ends 12 Apr 2019
Central European Time
Giambiagi LH and Lundqvist LH
Via Grignano, 9
I - 34151 Trieste (Italy)
This workshop is the second edition of a series of yearly meetings of the Dark Machines community (http://darkmachines.org/), a research collective of physicists and data scientists. The aim of the workshop is to answer cutting edge questions about dark matter with the most advanced techniques that data science provides us with. The researchers coming to this workshop will bring together expertise in particle physics, astrophysics, cosmology, statistics and information science (machine learning) and plenty of time will be devoted to discussions and brainstorming.
The workshop will have plenary sessions covering the main topics in the field of machine learning and dark matter. In addition, there will be a limited number of parallel talks. We encourage scientists interested to present their work on applications of machine learning to dark matter problems to submit their abstracts.
Afternoons will be devoted to hands-on sessions, during which the participants will work on the ongoing darkmachines challenges (listed here http://darkmachines.org/#projects) or propose and start new ones.
The last day of the meeting will be dedicated to the discussion related to the DarkMachines organisational issues (progress of the white paper, summary of computational challenges etc). The workshop will end on Friday at lunch time.
NOTE: The deadline for requesting funding was 15 January 2019. The online application is now available for those not requesting financial support (and not needing a visa to enter Italy). The deadline for submission is 10 March 2019. For any queries please e-mail email@example.com.
In order to register for the workshop it is complusory to complete the online application form on the ICTP portal. Select "Apply here" on the top left hand side of this page. You are first asked to fill in your personal information. Please note that only your date of birth and education are mandatory fields. Reference letters are also not compulsory. However, please insert additional information if you believe that it might be useful in the selection process.
Invited Speakers include:
Atılım Güneş Baydin (University of Oxford)
Johann Cohen-Tanugi (University of Montpellier)
Jan Conrad (Stockholm University)
Caterina Doglioni (Lund University)
Torsten Ensslin (Max Planck Institute for Astrophysics)
Guðlaugur Jóhannesson (University of Iceland)
Jaehoon Lee (Google Brain) - TBC
Nikita Moriakov (Radboud University Medical Center)
Daniel Nieto (Universidad Complutense de Madrid)
Thomas Rajat (University of Amsterdam)
Danilo J. Rezende (DeepMind, London)
Pasquale Serpico (LAPTH, Annecy)
David Shih (Rutgers University)
Roberto Trotta (Imperial College, London)
Simona Vegetti (Max Planck Institute for Astrophysics )
Jesus Zavala Franco (University of Iceland)
Coordinators of Dark Machines Challenges include:
Amir Farbin (UT Arlington)
Nicolao Fornengo (University of Torino)
Fabian Cristian Gieseke (University of Copenhagen)
Luc Hendriks (Radboud University)
Fabio Iocco (ICTP-SAIFR)
Erzsébet Merényi (Rice University)
Laurence Perreault Levasseur (KIPAC, Stanford University)
Maurizio Pierini (CERN)
Christoph Weniger (GRAPPA, Amsterdam)
Martin White (University of Adelaide)
Scientific Organizing Committee:
Gianfranco Bertone (GRAPPA, Amsterdam)
Francesca Calore (LAPTH, Annecy)
Sascha Caron (NIKEF, Nijmegen)
Tommaso Dorigo (University of Padova)
Gilles Louppe (University of Liège)
Roberto Ruiz de Austri (IFIC, Paterna)