External FLAIR Seminar: Prof. Giulio Biroli
Event details
| Date | 30.03.2022 |
| Hour | 10:00 |
| Speaker | Giulio Biroli |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
The goal of external FLAIR seminars (which are launched with this talk) is to have speakers from outside of EPFL presenting their work to all EPFL researchers interested by the theory of machine learning. Please find below the information for the talk, and do not hesitate to share this announcement!
Title: Renormalization Group Theory and Machine Learning
Speaker: Giulio Biroli (ENS Paris)
Abstract: Reconstructing, or generating, high dimensional distributions starting from data is a central problem in machine learning and data sciences.
I will present a method — The Wavelet Conditional Renormalization Group — that combines ideas from physics (renormalization group theory) and computer science (wavelets, stable representations of operators). The Wavelet Conditional Renormalization Group allows to reconstruct in a very efficient way classes of high dimensional distributions hierarchically from large to small spatial scales. I will present the method and then show its applications to data from statistical physics and cosmology. The Wavelet Conditional Renormalization Group Method also provides interesting insights on the interplay between structures of data and architectures of deep neural networks.
Practical information
- Informed public
- Free
Contact
- Lénaïc Chizat: lenaic.chizat@epfl.ch François Ged: francois.ged@epfl.ch