Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. - Emanuele La Malfa; Gabriele La Malfa; Giuseppe Nicosia; Vito Latora (ICTAI, 2021)

Distilling Financial Models by Symbolic Regression. - Gabriele La Malfa; Emanuele La Malfa; Roman V. Belavkin; Panos M. Pardalos; Giuseppe Nicosia (LOD, 2021)

Deep Neural Networks as Complex Networks. - Emanuele La Malfa; Gabriele La Malfa; Claudio Caprioli; Giuseppe Nicosia; Vito Latora (CoRR, 2022)

Using Protected Attributes to Consider Fairness in Multi-Agent Systems. - Gabriele La Malfa; Jie M. Zhang; Michael Luck; Elizabeth Black (AEQUITAS@ECAI, 2024)

Deep Neural Networks via Complex Network Theory: A Perspective. - Emanuele La Malfa; Gabriele La Malfa; Giuseppe Nicosia; Vito Latora (IJCAI, 2024)

Fairness Aware Reinforcement Learning via Proximal Policy Optimization. - Gabriele La Malfa; Jie M. Zhang; Michael Luck; Elizabeth Black (CoRR, 2025)

Large Language Models Miss the Multi-Agent Mark. - Emanuele La Malfa; Gabriele La Malfa; Samuele Marro; Jie M. Zhang; Elizabeth Black; Micheal Luck; Philip Torr 001; Michael J. Wooldridge (CoRR, 2025)