3 papers
cond-mat.dis-nn2026
Controlled Langevin Dynamics for Sampling of Feedforward Neural Networks Trained with Minibatches
Alessandro Zambon, Francesca Caruso, Riccardo Zecchina +1
Sampling the parameter space of artificial neural networks according to a Boltzmann distribution provides insight into the geometry of low-loss solutions and offers an alternative…
cond-mat.dis-nn2025
Sampling the space of solutions of an artificial neural network
Alessandro Zambon, Enrico M. Malatesta, Guido Tiana +1
The weight space of an artificial neural network can be systematically explored using tools from statistical mechanics. We employ a combination of a hybrid Monte Carlo algorithm wh…
q-bio.NC2025
Impact of dendritic non-linearities on the computational capabilities of neurons
Clarissa Lauditi, Enrico M. Malatesta, Fabrizio Pittorino +3
How neurons integrate the myriad synaptic inputs scattered across their dendrites is a fundamental question in neuroscience. Multiple neurophysiological experiments have shown that…