1 code implementation • 5 Jul 2023 • Francesco Cagnetta, Leonardo Petrini, Umberto M. Tomasini, Alessandro Favero, Matthieu Wyart
The model is a classification task where each class corresponds to a group of high-level features, chosen among several equivalent groups associated with the same class.
1 code implementation • 4 Oct 2022 • Umberto M. Tomasini, Leonardo Petrini, Francesco Cagnetta, Matthieu Wyart
Here, we (i) show empirically for various architectures that stability to image diffeomorphisms is achieved by both spatial and channel pooling, (ii) introduce a model scale-detection task which reproduces our empirical observations on spatial pooling and (iii) compute analitically how the sensitivity to diffeomorphisms and noise scales with depth due to spatial pooling.
no code implementations • 7 Feb 2022 • Umberto M. Tomasini, Antonio Sclocchi, Matthieu Wyart
Recently, several theories including the replica method made predictions for the generalization error of Kernel Ridge Regression.
