12 citations · 37 across the 11 of their papers we have counts for
4 papers · 1 filter
Deep Neural Networks as Complex Networks
Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli +2
Deep Neural Networks are, from a physical perspective, graphs whose `links` and `vertices` iteratively process data and solve tasks sub-optimally. We use Complex Network Theory (CN…
Backpropagation Neural Tree
Varun Ojha, Giuseppe Nicosia
We propose a novel algorithm called Backpropagation Neural Tree (BNeuralT), which is a stochastic computational dendritic tree. BNeuralT takes random repeated inputs through its le…
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia +1
We identify fragile and robust neurons of deep learning architectures using nodal dropouts of the first convolutional layer. Using an adversarial targeting algorithm, we correlate…
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks
Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia +1
In this paper, we interpret Deep Neural Networks with Complex Network Theory. Complex Network Theory (CNT) represents Deep Neural Networks (DNNs) as directed weighted graphs to stu…