activity
20112022
most citedDesign and characterization of effective solar cells

12 citations · 37 across the 11 of their papers we have counts for

collaborators

11 papers

math.OC2022★ 1 cited

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…

cs.LG2022★ 5 cited

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…

cs.NE2022

Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies

Varun Ojha, Jon Timmis, Giuseppe Nicosia

We present a comprehensive global sensitivity analysis of two single-objective and two multi-objective state-of-the-art global optimization evolutionary algorithms as an algorithm…

cs.LG2022

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…

cs.LG2022★ 3 cited

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…

cs.LG2021

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…

physics.app-ph2021★ 12 cited

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…

cs.NE2020★ 3 cited

Multi-Objective Optimisation of Multi-Output Neural Trees

Varun Ojha, Giuseppe Nicosia

We propose an algorithm and a new method to tackle the classification problems. We propose a multi-output neural tree (MONT) algorithm, which is an evolutionary learning algorithm…

physics.soc-ph2017★ 12 cited

Pareto optimality in multilayer network growth

Andrea Santoro, Vito Latora, Giuseppe Nicosia +1

We model the formation of multi-layer transportation networks as a multi-objective optimization process, where service providers compete for passengers, and the creation of routes…

cs.DS2013★ 1 cited

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…

math.AG2011

Systematic Discovery of Runge-Kutta Methods through Algebraic Varieties

Ivan Martino, Giuseppe Nicosia

This work presents a new evolutionary optimization algorithm in theoretical mathematics with important applications in scientific computing. The use of the evolutionary algorithm i…