Vulnerability analysis of infrastructure networks. - Giulio Galvan (2016)

On the convergence of inexact augmented Lagrangian methods for problems with convex constraints. - Giulio Galvan; Matteo Lapucci (Oper. Res. Lett., 2019)

An Alternating Augmented Lagrangian method for constrained nonconvex optimization. - Giulio Galvan; Matteo Lapucci; Tommaso Levato; Marco Sciandrone (Optim. Methods Softw., 2020)

Assessing the vulnerability of infrastructure networks based on distribution measures. - Giulio Galvan; Jitendra Agarwal (Reliab. Eng. Syst. Saf., 2020)

A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints. - Giulio Galvan; Marco Sciandrone; Stefano Lucidi (Comput. Optim. Appl., 2021)

A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems. - Giulio Galvan; Matteo Lapucci; Chih-Jen Lin; Marco Sciandrone (J. Mach. Learn. Res., 2021)

A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization. - Enrico Civitelli; Alessio Sortino; Matteo Lapucci; Francesco Bagattini; Giulio Galvan (IEEE Trans. Neural Networks Learn. Syst., 2025)