Introduction Room: Hotel Cenobio dei Dogi

Lecture 1 - Overview on ML/DL in HEP

• Amir Farbin (University of Texas at Arlington)

Room: Hotel Cenobio dei Dogi This lecture aims at giving a broad overview of main concepts in ML in the context of HEP applications.

Lecture 2 - Introduction to the ML landscape and methods

• Daniele Bonacorsi (BO)

Room: Hotel Cenobio dei Dogi An introduction to the (general, not HEP specific) ML landscape is given.

Hands-on session Room: Hotel Cenobio dei Dogi

Compute vision and applications

• Ferrari A. (Argo Vision)

Room: Hotel Cenobio dei Dogi

ML in the online data acquisition

• Cristiano Fanelli (ISS)

Room: Hotel Cenobio dei Dogi

ML for the EIC

• Dmitry Romanov (Jefferson Lab)

Room: Hotel Cenobio dei Dogi

Lecture 3 - End-2-end projects discussion: regression and classification

• Daniele Bonacorsi (BO)

Room: Hotel Cenobio dei Dogi The attendees will be guided through an example of regression techniques.

Lecture 4 - Rapid walk-through of Deep Learning

• Amir Farbin (University of Texas at Arlington)

Room: Hotel Cenobio dei Dogi The attendees will be guided through concepts and methods in Deep Learning.

Hands-on session (cont'd) Room: Hotel Cenobio dei Dogi

Hands-on session (cont'd) Room: Hotel Cenobio dei Dogi

Graph Network for High Energy Physics

• Jean-Roch Vlimant (Caltech)

Room: Hotel Cenobio dei Dogi

Improving Reaction Identification with ROOT TMVA

• Derek Glazier (University of Edinburgh)

Room: Hotel Cenobio dei Dogi

Lecture 5 - Training models and Gradient Descent (bonus: Decision Trees)

• Daniele Bonacorsi (BO)

Room: Hotel Cenobio dei Dogi The attendees will be guided through what's under the hood in terms of training models. An additional lecture on Decision Trees is posted.

Lecture 6 - Keras and/or Deep Learning in HEP

• Amir Farbin (University of Texas at Arlington)

Room: Hotel Cenobio dei Dogi The attendes opted to be given a guided walk-through of the basics of Keras as from keras.io. Alternative choice was a seminar on Deep Learning in HEP, whose slides are anyway posted.

Closeout Room: Hotel Cenobio dei Dogi The closeout includes speakers presenting references and post-course self-training suggestions, as well as a discussion of attendees' open projects.