12 citations · 22 across the 6 of their papers we have counts for
6 papers
Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures
Varun Ojha, Bartolomeo Panto, Giuseppe Nicosia
The paper proposes a novel adaptive search space decomposition method and a novel gradient-free optimization-based formulation for the pre- and post-buckling analyses of space trus…
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…
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…
Design and characterization of effective solar cells
Varun Ojha, Giorgio Jansen, Andrea Patane +3
We propose a two-stage multi-objective optimization framework for full scheme solar cell structure design and characterization, cost minimization and quantum efficiency maximizatio…
Bose-Einstein Condensation in Satisfiability Problems
Claudio Angione, Annalisa Occhipinti, Giovanni Stracquadanio +1
This paper is concerned with the complex behavior arising in satisfiability problems. We present a new statistical physics-based characterization of the satisfiability problem. Spe…