Machine Learning in High Energy Physics

20 Dec 2021, 09:00 → 21 Dec 2021, 18:30 Europe/Rome

Aula Salvini (LNF)

Aula Salvini

LNF

INFN - LNF via E .Fermi 54 - 00044 Frascati - Rome

Marco Battaglieri (Istituto Nazionale di Fisica Nucleare), Pasquale Di Nezza (Istituto Nazionale di Fisica Nucleare)

Description

Machine Learning Training Course for beginners oriented to the High Energy Physics applications

Due to COVID19 restrinctions, the participation will be limited to 18 persons in presence and 10 online

Mandatory:

-To bring your own laptop

-Super Green Pass COVID19, if in presence

Preferable:

-Python3 already installed

Material:

https://github.com/cfteach/ml4hep

ZOOM CONNECTION

https://cern.zoom.us/j/69104125552?pwd=UmZlQnI0b3hGeHZzcW1CSW9PUmo0dz09

Meeting ID: 691 0412 5552

Passcode: 174644

Registration

Registration

Monday, 20 December
- Mon, 20 Dec
- Tue, 21 Dec
- 1
  
  Introduction to the training course
  
  Slides day 1
  
  Speaker: Cristiano Fanelli
  
  ML4HEP_1.pdf
- 2
  
  AI/ML/DL: what it is all about
  
  Speaker: Cristiano Fanelli
- 3
  
  Gradient Descent
  
  Speaker: Cristiano Fanelli
- 4
  
  Regression in a nutshell
  
  Speaker: Cristiano Fanelli
- 11:10
  
  Coffee Break
- 5
  
  Hands-on - Exercise
  
  Speaker: Cristiano Fanelli
- 13:00
  
  Lunch Break
- 6
  
  Decision Trees: short overview + example
  
  Speaker: Cristiano Fanelli
- 7
  
  Clustering: practical approach with few examples
  
  Speaker: Cristiano Fanelli
- 16:30
  
  Coffee Break
- 8
  
  Hands-on - Exercise
  
  Speaker: Cristiano Fanelli
Tuesday, 21 December
- Mon, 20 Dec
- Tue, 21 Dec
- 9
  
  Deep Neural Networks
  
  Speaker: Cristiano Fanelli
- 10
  
  Deep Neural Networks
  
  Speaker: Cristiano Fanelli
- 11:00
  
  Coffee Break
- 11
  
  Hands-on - Build a simple NN
  
  Speaker: Cristiano Fanelli
- 13:00
  
  Lunch Break
- 12
  
  Approaches to Multi-Objective Optimization in a nutshell
  
  Speaker: Cristiano Fanelli
- 13
  
  AI-assisted Detector Design
- 16:30
  
  Coffee Break
- 14
  
  Hands-on - MOO Exercise
  
  Speaker: Cristiano Fanelli