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)

McSparse: Exact Solutions of Sparse Maximum Cut and Sparse Unconstrained Binary Quadratic Optimization Problems. - Jonas Charfreitag; Michael Jünger; Sven Mallach; Petra Mutzel (ALENEX, 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)

Integer Programming for the Maximum Cut Problem: A Refined Model and Implications for Branching. - Jonas Charfreitag; Sven Mallach; Petra Mutzel (ACDA, 2023)

Separator Based Data Reduction for the Maximum Cut Problem. - Jonas Charfreitag; Christine Dahn; Michael Kaibel; Philip Mayer; Petra Mutzel; Lukas Schürmann (SEA, 2024)