Machine Learning in High Energy Physics

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

Aula Salvini (LNF)

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

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

Monday, 20 December

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

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