Matthieu Wyart, Umberto Maria Tomasini, Francesco Cagnetta, Leonardo Petrini
A central question of machine learning is how deep nets manage to learn tasks in high dimensions. An appealing hypothesis is that they achieve this feat by building a representation of the data where information irrelevant to the task is lost. For image da ...
Bristol2023