This two-day workshop brings together researchers from computer science, statistical physics, and high-dimensional probability to explore fundamental challenges in machine learning.
Overview
- Date:Starts 26 May 2025, 09:00Ends 27 May 2025, 17:00
- Seats available:80
- Location:
- Language:English
- Last sign up date:19 May 2025
This two-day workshop brings together researchers from computer science, statistical physics, and high-dimensional probability to explore fundamental challenges in machine learning. The event will feature both international and local speakers, covering key interdisciplinary topics such as:
- Bayesian inference
- Signal processing
- Machine learning theory
- Rigorous mathematical foundations of machine learning
For who
This event is intended for PhD students, postdocs, and faculty members with a background in the relevant fields. Speakers will tailor their presentations to accommodate a diverse audience, ensuring accessibility while maintaining depth and rigor.
Poster session
A dedicated poster session will provide participants with the opportunity to present their work, exchange ideas, and engage in in-depth discussions with experts across different fields. The goal is to foster collaboration, inspire new research directions, and strengthen connections between different communities working on high-dimensional methods.
Program (tentative)
May 26
08:30 Registration and coffee
08:45 Opening remarks
09:00 Babak Hassibi
09:45 Federica Gerace
10:30 Coffee
11:00 Rebecka Jörnsten
11:45 Luca Saglietti
12:30 Lunch
14:00 Maria Chiara Angelini
14:45 Giuseppe Durisi
15:30 Poster session and coffee
17:00 Dinner with speakers
May 27
08:30 Coffee
09:00 Bernhard Mehlig
09:45 Soon Hoe Lim
10:30 Coffee
11:00 Rosalba Pacelli
11:45 Ayca Ozcelikkala
12:30 Lunch
14:00 Johan Wästlund
14:45 Mauro Pastore
15:30 Discussion
The event is organized with support from the ICT area of advance and from the Lerici foundation.
