39 citations · 63 across the 13 of their papers we have counts for
3 papers · 1 filter
Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks
Tommaso Boccato, Matteo Ferrante, Andrea Duggento +1
In this study, we explore the impact of network topology on the approximation capabilities of artificial neural networks (ANNs), with a particular focus on complex topologies. We p…
Physically constrained neural networks to solve the inverse problem for neuron models
Matteo Ferrante, Andera Duggento, Nicola Toschi
Systems biology and systems neurophysiology in particular have recently emerged as powerful tools for a number of key applications in the biomedical sciences. Nevertheless, such mo…
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs
Tommaso Boccato, Matteo Ferrante, Andrea Duggento +1
Thanks to their ease of implementation, multilayer perceptrons (MLPs) have become ubiquitous in deep learning applications. The graph underlying an MLP is indeed multipartite, i.e.…