Advanced Workshop on Accelerating the Search for Dark Matter with Machine Learning

Administration

Description

Overview

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.

Workshop Format

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).

Invited Speakers include:

Jelle Aalbers (Stockholm University)
Atılım Güneş Baydin (University of Oxford)
Johann Cohen-Tanugi (University of Montpellier)
Caterina Doglioni (Lund University)
Torsten Ensslin (Max Planck Institute for Astrophysics)
Guðlaugur Jóhannesson (University of Iceland)
Jaehoon Lee (Google Brain)
Nikita Moriakov (Radboud University Medical Center)
Daniel Nieto (Universidad Complutense de Madrid)
Rajat Thomas (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 )

Coordinators of Dark Machines Challenges include:

Amir Farbin (UT Arlington)
Luc Hendriks (Radboud University)
Fabio Iocco (ICTP-SAIFR)
Erzsébet Merényi (Rice University)
Michela Negro (INFN Torino)
Sydney Otten (Radboud 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)

_{NOTE: The deadline for requesting participation was 10 March 2019. For any queries please e-mail smr3280@ictp.it.}

_{There is no registration fee for this activity.}

Material

General Information List of Participants Poster group photo

Advanced Workshop on Accelerating the Search for Dark Matter with Machine Learning | (smr 3280)

Go to day

Monday, 8 April 2019

08:30 - 18:30 Monday, 8 April 2019 - INDIRECT DETECTION

Location:

Adriatico Guest House - Kastler Lecture Hall

08:30 Registration & Administrative Formalities 20' ( Adriatico Guest House - Workshop Secretariat )
08:50 Welcome address 10'

Material: Slides

09:00 Overview of indirect DM search challenges 45'

Speaker:	Pasquale Serpico (LAPTH, Annecy)
Material:	Slides

09:45 Probabilistic programming 45'

Speaker:	Rajat Thomas (University of Amsterdam)
Material:	Slides

10:30 Coffee Break 30' ( Adriatico Guest House - Terrace )

11:00 Fermi-LAT sky 45'

Speaker:	Guðlaugur Jóhannesson (University of Iceland)
Material:	Slides

11:45 Computer vision 45'

Speaker: Nikita Moriakov (Radboud University Medical Center)
12:30 Lunch Break 1h45' ( Adriatico Guest House - Cafeteria )

14:15 ML and cosmic ray shower reconstruction with CTA 30'

Speaker:	Daniel Nieto (Universidad Complutense de Madrid)
Material:	Slides

14:45 New data challenge on deep probabilistic programming 30'

Speaker: Christoph Weniger (GRAPPA, Amsterdam)
15:15 Status of challenges + Brainstorming 45'

Material: Slides
16:00 Coffee Break 20' ( Adriatico Guest House - Terrace )
16:20 Work in groups 1h0'
17:30 IFPU lectures - Elements of ML (= statistical learning) theory 1h0'
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Speaker: Gilles Louppe (University of Liège)

19:00 - 19:01 Dinner Reception

Location: Adriatico Guest House - Cafeteria

Tuesday, 9 April 2019

09:00 - 18:30 Tuesday, 9 April 2019 - PARTICLE PHYSICS

Location:

Adriatico Guest House - Kastler Lecture Hall

09:00 Searches for DM at the Large Hadron Collider 45'

Speaker:	Caterina Doglioni (Lund University)
Material:	Slides

09:45 Probabilistic Programming and Inference in Particle Physics 45'

Speaker:	Atılım Güneş Baydin (University of Oxford))
Material:	Slides

10:30 Coffee Break 30' ( Adriatico Guest House - Terrace )

11:00 Boosting New Physics Searches with Machine Learning 45'

Speaker:	David Shih (Rutgers University)
Material:	Slides

11:45 Magnifying (unknown) rare clusters to increase the chance of detection, using unsupervised learning 30'

Speaker:	Erzsébet Merényi (Rice University)
Material:	Slides

12:15 Variational Autoencoders 20'

Speaker:	Luc Hendriks (Radboud University)
Material:	Slides

12:35 Lunch Break 1h45' ( Adriatico Guest House - Cafeteria )
14:20 Event Generation with Deep Generative Models 20'

Speaker: Sydney Otten (Radboud University)

14:40 Recent results from the GAMBIT collaboration 20'

Speaker:	Martin White (University of Adelaide)
Material:	Slides

15:00 Collider searches for Dark Matter at LHC using machine learning 20'

Speaker:	Charanjit Kaur & Michael Soughton (University of Sussex)
Material:	Slides

15:20 Brainstorming + Status of challenges 40'

Material: Slides
16:00 Coffee Break 20' ( Adriatico Guest House - Terrace )
16:20 Work in groups 1h0'
17:30 IFPU lectures - Neural networks (from logistic regression to deep networks) 1h0' ( IFPU, via Beirut 2 )

Speaker: Gilles Louppe (University of Liège)

Wednesday, 10 April 2019

09:00 - 19:10 Wednesday, 10 April 2019 - GRAVITATIONAL LENSING

Location:

Adriatico Guest House - Kastler Lecture Hall

09:00 Overview of the LSST DM program 45'

Speaker:	Johann Cohen-Tanugi (University of Montpellier)
Material:	Slides

09:45 Deep Generative Models: Foundations, applications and open problems (Video Call) 45'

Speaker: Danilo J. Rezende (DeepMind, London)
10:30 Coffee Break 30' ( Adriatico Guest House - Terrace )
11:00 DM and gravitational lensing 45'

Speaker: Simona Vegetti (Max Planck Institute for Astrophysics)

11:45 Strong Gravitational Lensing and ML: Methodology 15'

Speaker:	Adam Coogan (GRAPPA, Amsterdam)
Material:	Slides

12:00 Strong Gravitational Lensing Systems with Machine Learning: first results on Dark Matter substructures 15'

Speaker:	Marco Chianese (GRAPPA, Amsterdam)
Material:	Slides

12:15 Lunch Break 1h45' ( Adriatico Guest House - Cafeteria )
14:00 Determining the dark matter clumps parameters from strong gravitational microlensing events 15'

Speaker: Olena Fedorova (University of Kyiv)

14:15 Search for dark substructure in Gaia stellar field using CNN 15'

Speaker:	Mihael Petac (SISSA)
Material:	Slides

14:30 Using machine learning to unlock Gaia's full potential to determine the dark matter halo 15' ( Adriatico Guest House - Kastler Lecture Hall )

Speaker: Bryan Ostdiek (University of Oregon)
15:00 EHT Press Conference 1h0'
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Link
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16:00 Coffee Break 30' ( Adriatico Guest House - Terrace )

16:30 Gaussian processes and deep learning (Video Call) 45'

Speaker:	Jaehoon Lee (Google Brain)
Material:	Slides

17:15 Brainstorming + Status of challenges 45'

Material: Slides
18:00 Work in groups (TBC) 1h0' ( Adriatico Guest House - Kastler Lecture Hall )

20:00 - 23:00 Workshop Dinner
- 20:00 Ristorante Menarosti, Via del Toro 12, Trieste 3h0' ( Trieste ( City Center ) )
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Reserved for Workshop Participants only. Confirmation is mandatory by e-mailing smr3280@ictp.it
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  Material: Directions & Tips

Thursday, 11 April 2019

09:00 - 17:50 Thursday, 11 April 2019 - DIRECT DETECTION

Location:

Adriatico Guest House - Kastler Lecture Hall

09:00 Overview of direct detection challenges 45'

Speaker:	Jelle Aalbers (Stockholm University)
Material:	Slides

09:45 Information field theory 45'

Speaker:	Torsten Ensslin (Max Planck Institute for Astrophysics)
Material:	Slides

10:30 Coffee Break 30' ( Adriatico Guest House - Terrace )

11:00 Bayesian Tools for Dark Matter Searches 45'

Speaker:	Roberto Trotta (Imperial College, London)
Material:	Slides

11:45 Likelihood-free Markov chain Monte Carlo with Approximate Likelihood Ratios 20'

Speaker: Joeri Hermans (University of Liège)

12:05 Noisy-input classification of Fermi-LAT unidentified point-like sources 15'

Speaker:	Bryan Zaldivar Montero (IFT, Madrid)
Material:	Slides

12:20 DM & CTA 15'

Speaker:	Salvatore Mangano (Universidad Politécnica de Madrid)
Material:	Slides

12:35 Lunch Break 1h45' ( Adriatico Guest House - Cafeteria )

14:20 An application of unsupervised learning method in HEP data analysis 15'

Speaker:	Ying-Ying Li (Hong Kong U. of Science and Tech.)
Material:	Slides

14:35 Tagging jets with LDA topic models 15'

Speaker:	Barry Dillon (Jozef Stefan Institute, Ljubljana)
Material:	Slides

14:50 Search for patterns in physics: from particles to dark matter 15'

Speaker:	Josue Molina Rodriguez (Universidad Zamorano)
Material:	Slides

15:05 Elementary particle based models for Dark Matter on galaxy scales 15'

Speaker:	Carlos Argüelles (UNLP & CONICET)
Material:	Slides

15:20 Bayesian reconstruction of the Milky Way dark matter distribution 15' ( Adriatico Guest House - Kastler Lecture Hall )

Speaker:	Ekaterina Karukes (CAMK/AstroCeNT, Warsaw)
Material:	Slides

15:35 Status of challenges + Brainstorming 45' ( Adriatico Guest House - Kastler Lecture Hall )
16:20 Coffee Break 30' ( Adriatico Guest House - Terrace )
16:50 Work in groups 1h0' ( Adriatico Guest House - Kastler Lecture Hall )

Friday, 12 April 2019
- 09:00 - 12:00 Friday, 12 April 2019
  
  Location: Adriatico Guest House - Kastler Lecture Hall
  - 09:00 Summary of darkmachines.org challenges 1h30'
  - 10:30 Coffee Break 30' ( Adriatico Guest House - Terrace )
  - 11:00 Next steps 1h0'