Large-Scale Multi-objective Influence Maximisation with Network Downscaling. - Elia Cunegatti; Giovanni Iacca; Doina Bucur (PPSN (2), 2022)

Peeking inside Sparse Neural Networks using Multi-Partite Graph Representations. - Elia Cunegatti; Doina Bucur; Giovanni Iacca (CoRR, 2023)

MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning. - Matteo Farina; Massimiliano Mancini; Elia Cunegatti; Gaowen Liu; Giovanni Iacca; Elisa Ricci 001 (CVPR, 2024)

Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time. - Elia Cunegatti; Leonardo Lucio Custode; Giovanni Iacca (GECCO Companion, 2024)

Neuron-centric Hebbian Learning. - Andrea Ferigo; Elia Cunegatti; Giovanni Iacca (GECCO, 2024)

Influence Maximization in Hypergraphs Using Multi-Objective Evolutionary Algorithms. - Stefano Genetti; Eros Ribaga; Elia Cunegatti; Quintino F. Lotito; Giovanni Iacca (PPSN (4), 2024)

Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training. - Elia Cunegatti; Leonardo Lucio Custode; Giovanni Iacca (CoRR, 2024)

Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations. - Elia Cunegatti; Matteo Farina; Doina Bucur; Giovanni Iacca (Trans. Mach. Learn. Res., 2024)

2SSP: A Two-Stage Framework for Structured Pruning of LLMs. - Fabrizio Sandri; Elia Cunegatti; Giovanni Iacca (Trans. Mach. Learn. Res., 2025)