Pacelli, R.

1. Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks
   2023/07/21 by Riccardo Aiudi, Aiudi, R., R. Pacelli +7 · 6 citations
   Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
2. Predictive power of a Bayesian effective action for fully-connected one hidden layer neural networks in the proportional limit
   2024/01/19 by Piero Baglioni, R. Pacelli, Baglioni, P. +11 · 5 citations
   Computer Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Neural Networks and Applications #Statistical Mechanics (cond-mat.stat-mech)
3. Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks
   2024/12/20 by Piero Baglioni, Lorenzo Giambagli, Baglioni, P. +9 · 1 citation
   Computer Science · Neuroscience · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function