Machine Learning for High Energy Physics - a mini course

Name: Machine Learning for High Energy Physics - a mini course
Start: 2019-02-04T09:00:00+01:00
End: 2019-02-05T17:45:00+01:00
Location: University of Zurich, Campus Irchel

Feb 4, 2019, 9:00 AM → Feb 5, 2019, 5:45 PM Europe/Zurich

Y15-G-60 (University of Zurich, Campus Irchel)

Y15-G-60

University of Zurich, Campus Irchel

Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich

Gregor Kasieczka (Hamburg University (DE)), Thea Aarrestad (Universitaet Zuerich (CH))

Description

Registration is now closed!

This is a two day beginner course on machine learning for high energy physics given by Jun.-Prof. Dr.Gregor Kasieczka (Universität Hamburg), and will cover topics like

Basics of neural networks and training
Convolutional Networks
Recurrent architectures
Combining Physics and Deep Learning
Systematic Uncertainties
Learning from Data
Generative Networks
Understanding network decisions
Hands-on exercises

The course is free of charge and consists of three lecture blocks open for a larger audience, as well as a hands-on session.

You will learn how to use tools like Keras and TensorFlow, and the hands-on session includes designing your own deep neural network (both simple as well as more complex architectures) and training it on a cloud GPU.

This course is targeted for PhD students and Postdocs, but others will be allowed to participate if there are available places. Privilege is given to physics students from UZH and ETH.

The lectures and hands-on session will take place at the UZH Irchel Campus.

On both evenings we will have invited talks given by experts in the field:

Deep learning and future challenges at HL-LHC
Jennifer Ngadiuba (CERN)

Scaling up TensorFlow on Accelerators
Marvin Ritter (Google AI)

Local organizers:

Thea Aarrestad (UZH)
Ben Kilminster (UZH)
Florencia Canelli (UZH)

Thea Årrestad

thea.aarrestad@cern.ch

+41 44 635 61 03

Registration

Registration form for ML for HEP

Participants

Abhijit Mathad
Adam Brown
Adelina Lintuluoto
Albert Puig Navarro
Alberto Bragagnolo
Alberto Zucchetta
Alejandro Gomez Espinosa
Alessandro Calandri
Alessandro Manfredini
Alexander Albert Skawran
Alison Mitchell
Ann-Christine Vossberg-Straw
Annapaola de Cosa
Annaritaq Buonaura
Anne-Mazarine Lyon
Arno Gadola
Balint Radics
Bhargav Madhusudan Joshi
Bibhuprasad Mahakud
Camilla Galloni
Carlos Abellan
Chloe Ransom
Christian Dorfer
Christina Reissel
Christophorus Grab
Daniel Salerno
Daniela Schaefer
Daniele Ruini
David Morse
Davide Valsecchi
Deborah Pinna
Dmitry Hits
Emilio Depero
Enrico Guiraud
Federica Tarsitano
Federico Buccioni
Frédéric Girard
Gabriel Palacino
Gael Touquet
Gianluca Janka
Giorgia Rauco
Gregor Kasieczka
Guillermo Jose Loustau De Linares
Hamed Khakzad
Hasib Md
Iaroslava Bezshyiko
Izaak Neutelings
Javier Fuentes-Martin
Javier Mazzitelli
Jean-Nicolas Lang
Jennifer Pollack
Jeong Yeon Yook
Jeremi Niedziela
Johannes Noller
Johannes Wüthrich
Jonathan Mo
Judit Szulagyi
Julie Pagès
Julien Wulf
Kai Hoffmann
Kaustuv Datta
Kevin Thieme
Korbinian Schweiger
Krunal Bipin Gedia
Larry Sin
Lars Gerchow
Laura Molina Bueno
Laura Sinkunaite
Leonardo Cristella
Leonora Vesterbacka
Lichen Liang
Luca Buonocore
Luca Tortorelli
Lucas Torterotot
Lukas Halter
Maren Tabea Meinhard
Maria Giulia Ratti
Marius Hoefer
Martina Fagioli
Martina Ferrillo
Matthias König
Michael Heiss
Michael Kretschmer
Michael Philipp Reichmann
Michele Atzeni
Mikio Sakurai
Miles Timpe
Miroslaw Marszalek
Mischa Knabenhans
Nadezda Chernyavskaya
Nazar Bartosik
Nicola Chiapolini
Oliver Grimm
Onur Çatmabacak
Paride Azzari
Patricia Sanchez-Lucas
Philipp Denzel
Rafael Souza Lima
René Holzreuter
Ricardo Wölker
Rina Onda
Roman Hiller
Ryoto Iwai
Samuel Klein
Sandro D'Amato
Sebastien Murphy
Sergey Shirobokov
Shreya Saha
Siew Yan Hoh
Silvia Taroni
Silvio Donato
Simon Buse
Simone Devoto
Sokratis Trifinopoulos
Stephane Cooperstein
Steven Juhyung Lee
Thea Aarrestad
Tomasz Kacprzak
Valentin Y Kuznetsov
Vilius Cepaitis
Vinzenz Stampf
Yanina Biondi
Yavar Taheri Yeganeh
Zhenzi Wang

Mon, February 4
- Mon, Feb 4
- Tue, Feb 5
- 9:00 AM → 9:30 AM
  
  Registration 30m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
- 9:30 AM → 9:35 AM
  
  Welcome 5m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Ben Kilminster (Universitaet Zuerich (CH))
- 9:35 AM → 9:45 AM
  
  Introduction 10m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Thea Aarrestad (Universitaet Zuerich (CH))
  
  ML4HEP.pdf
- 9:45 AM → 10:45 AM
  
  Basics of neural networks and training 1h Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
  
  DeepLearning_Zurich_ML4HEP.pdf
- 10:45 AM → 11:00 AM
  
  Coffee break 15m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
- 11:00 AM → 12:15 PM
  
  Convolutional networks 1h 15m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
- 12:15 PM → 2:00 PM
  
  Lunch break 1h 45m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
- 2:00 PM → 3:00 PM
  
  Recurrent architectures 1h Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
- 3:00 PM → 3:15 PM
  
  Break 15m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
- 3:15 PM → 4:30 PM
  
  Combining Physics and Deep Learning 1h 15m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
- 4:30 PM → 5:00 PM
  
  Coffee break 30m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
- 5:00 PM → 5:40 PM
  
  Invited evening talk: Machine Learning for HL-LHC 40m 15-G-60 (Campus Irchel)
  
  15-G-60
  
  Campus Irchel
  
  Speaker: Jennifer Ngadiuba (CERN)
  
  Ngadiuba_ZurichMLWorkshop2019.pdf
Tue, February 5
- Mon, Feb 4
- Tue, Feb 5
- 9:30 AM → 10:45 AM
  
  Systematic Uncertainties and Learning from Data 1h 15m Y16-G-15 (Campus Irchel)
  
  Y16-G-15
  
  Campus Irchel
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
  
  Slides
- 10:45 AM → 11:00 AM
  
  Coffee break 15m
- 11:00 AM → 12:00 PM
  
  Generative Networks and Understanding network decisions 1h Y16-G-15 (Campus Irchel)
  
  Y16-G-15
  
  Campus Irchel
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
- 12:00 PM → 2:00 PM
  
  Lunch break 2h
- 2:00 PM → 3:00 PM
  
  Hands-on 1h Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
  
  DeepLearning_ML4HEP_Exercise.pdf
  
  Leaderboard
  
  Upload Target
- 3:15 PM → 4:30 PM
  
  Hands-on 1h 15m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Gregor Kasieczka (Hamburg University (DE))
- 4:30 PM → 5:00 PM
  
  Coffee break 30m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
- 5:00 PM → 5:40 PM
  
  Scaling up TensorFlow on Accelerators 40m Y15-G-60
  
  Y15-G-60
  
  University of Zurich, Campus Irchel
  
  Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
  
  Speaker: Marvin Ritter (Google AI)

Machine Learning for High Energy Physics - a mini course

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

15-G-60

Campus Irchel

Y16-G-15

Campus Irchel

Y16-G-15

Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel

Y15-G-60

University of Zurich, Campus Irchel