Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers. - Antoine Prouvost; Justin Dumouchelle; Lara Scavuzzo; Maxime Gasse; Didier Chételat; Andrea Lodi 001 (CoRR, 2020)

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)

Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems? - Justin Dumouchelle; Emma Frejinger; Andrea Lodi 001 (CoRR, 2021)

Ecole: A Library for Learning Inside MILP Solvers. - Antoine Prouvost; Justin Dumouchelle; Maxime Gasse; Didier Chételat; Andrea Lodi 001 (CoRR, 2021)

Neur2SP: Neural Two-Stage Stochastic Programming. - Rahul Patel; Justin Dumouchelle; Elias B. Khalil; Merve Bodur (NeurIPS, 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)

Neur2RO: Neural Two-Stage Robust Optimization. - Justin Dumouchelle; Esther Julien; Jannis Kurtz; Elias Boutros Khalil (ICLR, 2024)

Neur2BiLO: Neural Bilevel Optimization. - Justin Dumouchelle; Esther Julien; Jannis Kurtz; Elias B. Khalil (NeurIPS, 2024)