Artificial intelligence for High Energy Physics

10 Jun 2025, 10:00 → 22 Jun 2025, 14:00 Europe/Zurich

EPFL - Lausanne

The use of Artificial intelligence in High Energy Physics has been growing in past years. 

In this event we will have a series of lectures on introduction to machine learning and several research seminars devoted to the topic of Artificial intelligence in High Energy Physics. 

 

This event is part of the Marie Curie Staff exchange project - HeI and is organized by its nodes.

 

The conference will be held on-site at EPFL - École polytechnique fédérale de Lausanne from 10 to 20 of June 2025. 

 

Participation is by invitation only due to limited space. Contact one of the members of the consortium of the HeI project if you have any questions. 

 

The program includes:

• a set of lectures by Giuseppe Carleo on Machine learning for hep as well as a series of hands-on tutorials by Luciano Viteritti, Zakari Denis
• seminars by Francesco Aprile, Filipe Serrano, Bruno Fernandes, Julio Oliveira and Ricardo Rodrigues.

 

All participants (in-person) are kindly requested to register. The deadline for registration is April 30, 2025.  The registration fee is 300 CHF. See the [Registration] and [Payment] pages for further information.

 

Beware of Scams! Please, use the official websites or emails of the hotels to make a reservation;  The organizers of workshop have no business relation with any travel agency. 

 

The first week the conference will take place at CECAM 

https://plan.epfl.ch/?room==BCH%202103

Tuesday 10 June

10:00 → 11:00 Lecture 1 - Machine Learning for theoretical physics

Speaker: Prof. Giuseppe Carleo (EPFL)

11:00 → 12:00 Coffee break

12:00 → 13:00 Lecture 2 - Machine Learning for theoretical physics

Speaker: Prof. Giuseppe Carleo

14:30 → 16:30 Hands-on tutorial: part I

Speaker: Dr Luciano Viteritti (EPFL)

Wednesday 11 June

10:00 → 11:00 Lecture 3 - Machine Learning for theoretical physics

Speaker: Prof. Giuseppe Carleo

11:00 → 11:30 Coffee break

11:30 → 12:30 Lecture 4 - Machine Learning for theoretical physics

Speaker: Prof. Giuseppe Carleo

14:30 → 16:30 Hands-on tutorial: part II

Speaker: Dr Luciano Loris Viteritti

Thursday 12 June

10:00 → 11:00 Lecture 5 - Machine Learning for theoretical physics

Speaker: Prof. Giuseppe Carleo

11:00 → 11:30 Coffee break

11:30 → 12:30 Discussion

Speaker: Julio Oliveira

14:30 → 16:30 Discussion

Friday 13 June

10:00 → 11:00 Lecture 6 - Machine Learning for theoretical physics

Speaker: Prof. Giuseppe Carleo

11:00 → 11:30 Coffee break

11:30 → 12:30 Discussion

Monday 16 June

10:00 → 11:00 Hands-on tutorial: part III

Speaker: Dr Zakari Denis (EFPL)

11:00 → 11:30 Coffee Break

11:30 → 12:30 Hands-on tutorial: part IV

Speaker: Zakari Denis

14:30 → 16:30 Discussion :: WP3 ::

Tuesday 17 June

10:00 → 11:00 Hands- on tutorial: part V

Speaker: Dr Zakari Denis

11:00 → 11:30 Coffee break

11:30 → 12:30 Hands-on tutorial: part VI

Speaker: Dr Zakari Denis

14:30 → 15:30 Discussion: On the heavy spectrum of holographic CFTs

Speaker: Filipe Serrano

Wednesday 18 June

10:00 → 11:00 Holographic correlators - part I

Speaker: Dr Francesco Aprile

11:00 → 11:30 coffee break

11:30 → 12:30 Holographic Correlators - part II

Speaker: Bruno Fernandes

14:30 → 16:30 Discussion

Thursday 19 June

10:00 → 11:00 S-matrix bootstrap and machine learning

Speaker: Dr Piotr Tourkine

11:00 → 11:30 Coffee break

11:30 → 12:30 S-matrix bootstrap and machine learning

14:30 → 16:30 Discussion

Friday 20 June

10:00 → 11:30 Final Discussion

11:30 → 12:30 coffee break

14:30 → 15:00 Ends of the workshop