Learning a Classification of Mixed-Integer Quadratic Programming Problems. - Pierre Bonami; Andrea Lodi 001; Giulia Zarpellon (CPAIOR, 2018)

Learning MILP Resolution Outcomes Before Reaching Time-Limit. - Martina Fischetti; Andrea Lodi 001; Giulia Zarpellon (CPAIOR, 2019)

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. - Giulia Zarpellon; Jason Jo; Andrea Lodi 001; Yoshua Bengio (AAAI, 2021)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Simon Bowly; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; et al. (NeurIPS (Competition and Demos), 2021)

Biohybrid soft robots with self-stimulating skeletons. - Maria Guix; Rafael Mestre; Tania Patiño; Marco De Corato; Judith Fuentes; Giulia Zarpellon; Samuel Sánchez (Sci. Robotics, 2021)

Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning. - Max B. Paulus; Giulia Zarpellon; Andreas Krause 001; Laurent Charlin; Chris J. Maddison (ICML, 2022)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; Andrea Lodi 001; et al. (CoRR, 2022)

A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX. - Pierre Bonami; Andrea Lodi 001; Giulia Zarpellon (Oper. Res., 2022)

Pyafscgap.org: Open source multi-modal Python-based tools for NOAA AFSC RACE GAP. - A Samuel Pottinger; Giulia Zarpellon (J. Open Source Softw., 2023)