most citedLocal Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cond-mat.dis-nn2024

Predictive power of a Bayesian effective action for fully-connected one hidden layer neural networks in the proportional limit

P. Baglioni, R. Pacelli, R. Aiudi +4

We perform accurate numerical experiments with fully-connected (FC) one-hidden layer neural networks trained with a discretized Langevin dynamics on the MNIST and CIFAR10 datasets.…

cs.LG2023★ 3 cited

Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks

R. Aiudi, R. Pacelli, A. Vezzani +2

Feature learning, or the ability of deep neural networks to automatically learn relevant features from raw data, underlies their exceptional capability to solve complex tasks. Howe…

cond-mat.stat-mech2023

Critical dynamics of long range models on Dynamical Lévy Lattices

Riccardo Aiudi, Raffaella Burioni, Alessandro Vezzani

We investigate critical equilibrium and out of equilibrium properties of a ferromagnetic Ising model in one and two dimension in the presence of long range interactions, $J_{ij}\pr…