71 citations · 229 across the 21 of their papers we have counts for
4 papers · 1 filter
Emergence of Network Motifs in Deep Neural Networks
Matteo Zambra, Alberto Testolin, Amos Maritan
Network science can offer fundamental insights into the structural and functional properties of complex systems. For example, it is widely known that neuronal circuits tend to orga…
Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design
Paolo Testolina, Mattia Lecci, Mattia Rebato +5
Complex phenomena are generally modeled with sophisticated simulators that, depending on their accuracy, can be very demanding in terms of computational resources and simulation ti…
On the difficulty of learning and predicting the long-term dynamics of bouncing objects
Alberto Cenzato, Alberto Testolin, Marco Zorzi
The ability to accurately predict the surrounding environment is a foundational principle of intelligence in biological and artificial agents. In recent years, a variety of approac…
Perception of visual numerosity in humans and machines
Alberto Testolin, Serena Dolfi, Mathijs Rochus +1
Numerosity perception is foundational to mathematical learning, but its computational bases are strongly debated. Some investigators argue that humans are endowed with a specialize…