Event
Weekly DL Theory & Stat Phy Seminar
Short summary
In this seminar, I will talk about a line of works that tries to explain the phase transition behavior of the loss landscape (and the training dynamics as well) as the number of datas and parameters vary from a statistical physics point of view, namely, the jamming transition.
Papers
Paper discussed in the seminar:
- Mario Geiger, Leonardo Petrini, and Matthieu Wyart. Landscape and training regimes in deep learning. In Physics Report 924:1-18, 2021.