A day on Random Matrix Theory and Deep Learning
ATTENTION! Registration is free but mandatory for organizational purposes: register here.
The workshop is organized by the Rome Center on Mathematics for Modeling and Data ScienceS (RoMaDS), University of Rome Tor Vergata, and funded by the excellence program MatMod@TOV. The aim of the workshop is to bring together experts with interests at the intersection of Random Matrix Theory and Deep Learning.
Speakers
Nadav Cohen (Tel Aviv University)TBA
Abstract
TBA
Jon Keating (University of Oxford)
Some connections between random matrix theory and machine learning
Abstract
I will discuss some connections between random matrix theory and machine learning, focusing on the spectrum of the hessian of the loss surface and touching on issues relating to neural collapse.
Florent Krzakala (École polytechnique fédérale de Lausanne)
TBA
Abstract
TBA
Zhenyu Liao (Huazhong University of Science & Technology)
TBA
Abstract
TBA
Roland Speicher (Saarland University)
TBA
Abstract
TBA
Schedule
| Time | Speaker |
|---|---|
| 09h30 - 10h30 | Jon Keating |
| 10h30 - 11h00 | Coffee break |
| 11h00 - 12h00 | Roland Speicher |
| 12h00 - 13h00 | Zhenyu Liao |
| 13h00 - 14h30 | Lunch |
| 14h30 - 15h30 | Florent Krzakala |
| 15h30 - 16h00 | Coffee break |
| 16h00 - 17h00 | Nadav Cohen |
Venue
The conference will take place in
Aula Gismondi (also known as Aula Magna) at the University of Rome Tor Vergata,
Via della Ricerca Scientifica 1, 00133, Roma.
When you arrive and are facing the main building, head to your left. At the far left end of the building, just before entering, take the stairs on your left. Walk a few meters under the overhead 'bridges' — and you'll find the entrance.
Organizers
Domenico Marinucci
Stefano Vigogna
Michele Salvi
Contact
Should you have further questions, please write to [last name of second organizer] [at] mat [dot] uniroma2 [dot] it .
