The world migration network: Rankings, groups and gravity models. - Quentin Cappart; Adrien Thonet (EUROCON, 2015)

Verification of railway interlocking systems. - Simon Busard; Quentin Cappart; Christophe Limbrée; Charles Pecheur; Pierre Schaus (ESSS, 2015)

Verification of Railway Interlocking - Compositional Approach with OCRA. - Christophe Limbrée; Quentin Cappart; Charles Pecheur; Stefano Tonetta (RSSRail, 2016)

A Dedicated Algorithm for Verification of Interlocking Systems. - Quentin Cappart; Pierre Schaus (SAFECOMP, 2016)

Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables. - Quentin Cappart; Pierre Schaus (CPAIOR, 2017)

Verification of Interlocking Systems Using Statistical Model Checking. - Quentin Cappart; Christophe Limbrée; Pierre Schaus; Jean Quilbeuf; Louis-Marie Traonouez; Axel Legay (HASE, 2017)

Verification of railway interlocking systems and optimisation of railway traffic. - Quentin Cappart (2017)

A Constraint Programming Approach for Solving Patient Transportation Problems. - Quentin Cappart; Charles Thomas 005; Pierre Schaus; Louis-Martin Rousseau (CP, 2018)

EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events. - Quentin Cappart; John O. R. Aoga; Pierre Schaus (CPAIOR, 2018)

Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. - Quentin Cappart; Emmanuel Goutierre; David Bergman; Louis-Martin Rousseau (AAAI, 2019)

How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem. - Antoine François; Quentin Cappart; Louis-Martin Rousseau (CoRR, 2019)

Learning TSP Requires Rethinking Generalization. - Chaitanya K. Joshi; Quentin Cappart; Louis-Martin Rousseau; Thomas Laurent 001; Xavier Bresson (CoRR, 2020)

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. - Quentin Cappart; Thierry Moisan; Louis-Martin Rousseau; Isabeau Prémont-Schwarz; André A. Ciré (AAAI, 2021)

Learning TSP Requires Rethinking Generalization. - Chaitanya K. Joshi; Quentin Cappart; Louis-Martin Rousseau; Thomas Laurent 001 (CP, 2021)

SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning. - Félix Chalumeau; Ilan Coulon; Quentin Cappart; Louis-Martin Rousseau (CPAIOR, 2021)

Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning. - Augustin Parjadis; Quentin Cappart; Louis-Martin Rousseau; David Bergman (CPAIOR, 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)

On Causal Inference for Data-free Structured Pruning. - Martin Ferianc; Anush Sankaran; Olivier Mastropietro; Ehsan Saboori; Quentin Cappart (CoRR, 2021)

Scheduling the Equipment Maintenance of an Electric Power Transmission Network Using Constraint Programming. - Louis Popovic; Alain Côté; Mohamed Gaha; Franklin Nguewouo; Quentin Cappart (CP, 2022)

Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams. - Isaac Rudich; Quentin Cappart; Louis-Martin Rousseau (CP, 2022)

Learning the travelling salesperson problem requires rethinking generalization. - Chaitanya K. Joshi; Quentin Cappart; Louis-Martin Rousseau; Thomas Laurent 001 (Constraints An Int. J., 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)

Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning. - Quentin Cappart; David Bergman; Louis-Martin Rousseau; Isabeau Prémont-Schwarz; Augustin Parjadis (INFORMS J. Comput., 2022)

Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver. - Tom Marty; Tristan François; Pierre Tessier; Louis Gautier; Louis-Martin Rousseau; Quentin Cappart (CP, 2023)

Explaining the Behavior of Reinforcement Learning Agents Using Association Rules. - Zahra Parham; Vi Tching de Lille; Quentin Cappart (LION, 2023)

Repositioning Fleet Vehicles: A Learning Pipeline. - Augustin Parjadis; Quentin Cappart; Quentin Massoteau; Louis-Martin Rousseau (LION, 2023)

Training a Deep Q-Learning Agent Inside a Generic Constraint Programming Solver. - Tom Marty; Tristan François; Pierre Tessier; Louis Gautier; Quentin Cappart; Louis-Martin Rousseau (CoRR, 2023)

Improved Peel-and-Bound: Methods for Generating Dual Bounds with Multivalued Decision Diagrams. - Isaac Rudich; Quentin Cappart; Louis-Martin Rousseau (J. Artif. Intell. Res., 2023)

Combinatorial Optimization and Reasoning with Graph Neural Networks. - Quentin Cappart; Didier Chételat; Elias B. Khalil; Andrea Lodi 001; Christopher Morris 001; Petar Velickovic (J. Mach. Learn. Res., 2023)

Learning Lagrangian Multipliers for the Travelling Salesman Problem. - Augustin Parjadis; Quentin Cappart; Bistra Dilkina; Aaron M. Ferber; Louis-Martin Rousseau (CP, 2024)

Learning Precedences for Scheduling Problems with Graph Neural Networks. - Hélène Verhaeghe; Quentin Cappart; Gilles Pesant; Claude-Guy Quimper (CP, 2024)

Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem. - Hugo Barral; Mohamed Gaha; Amira Dems; Alain Côté; Franklin Nguewouo; Quentin Cappart (CPAIOR (1), 2024)

Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. - Léo Boisvert; Hélène Verhaeghe; Quentin Cappart (CPAIOR (1), 2024)

An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems. - Chao Yin; Quentin Cappart; Gilles Pesant (CPAIOR (2), 2024)

Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. - Andoni I. Garmendia; Francesco Morri; Quentin Cappart; Hélène Le Cadre (ECAI, 2024)

MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. - Andoni I. Garmendia; Quentin Cappart; Josu Ceberio; Alexander Mendiburu (IJCAI, 2024)

Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. - Heiko Hoppe; Tobias Enders; Quentin Cappart; Maximilian Schiffer (L4DC, 2024)

WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. - Léo Boisvert; Megh Thakkar; Maxime Gasse; Massimo Caccia; Thibault Le Sellier de Chezelles; Quentin Cappart; Nicolas Chapados; Alexandre Lacoste; Alexandre Drouin (NeurIPS, 2024)

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? - Alexandre Drouin; Maxime Gasse; Massimo Caccia; Issam H. Laradji; Manuel Del Verme; Tom Marty; Léo Boisvert; Megh Thakkar; Quentin Cappart; David Vázquez 001; Nicolas Chapados; Alexandre Lacoste (CoRR, 2024)

Dynamic Routing and Wavelength Assignment with Reinforcement Learning. - Peyman Kafaei; Quentin Cappart; Nicolas Chapados; Hamed Pouya; Louis-Martin Rousseau (INFORMS J. Optim., 2024)

Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver. - Tom Marty; Léo Boisvert; Tristan François; Pierre Tessier; Louis Gautier; Louis-Martin Rousseau; Quentin Cappart (Constraints An Int. J., 2024)

Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning. - Swann Bessa; Darius Dabert; Max Bourgeat; Louis-Martin Rousseau; Quentin Cappart (AAAI, 2025)

A Column Generation Heuristic for Multi-depot Electric Bus Scheduling. - Yoann Sabatier Montanaro; Thomas Jacquet; Quentin Cappart; Guy Desaulniers (CPAIOR (2), 2025)

Shaping Reward Signals in Reinforcement Learning Using Constraint Programming. - Chao Yin; Quentin Cappart; Gilles Pesant (CPAIOR (2), 2025)

A machine-learning-based column generation heuristic for electric bus scheduling. - Juliette Gerbaux; Guy Desaulniers; Quentin Cappart (Comput. Oper. Res., 2025)

Estimating Road Construction Costs with Explainable Machine Learning. - Rosanne Larocque; Anne-Marie Boulé; Quentin Cappart (INFORMS J. Appl. Anal., 2025)

The BrowserGym Ecosystem for Web Agent Research. - Thibault Le Sellier de Chezelles; Maxime Gasse; Alexandre Lacoste; Massimo Caccia; Alexandre Drouin; Léo Boisvert; Megh Thakkar; Tom Marty; Rim Assouel; Sahar Omidi Shayegan; Lawrence Keunho Jang; Xing Han Lù; et al. (Trans. Mach. Learn. Res., 2025)

DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. - Léo Boisvert; Mihir Bansal; Chandra Kiran Reddy Evuru; Gabriel Huang; Abhay Puri; Avinandan Bose; Maryam Fazel; Quentin Cappart; Jason Stanley; Alexandre Lacoste; Alexandre Drouin; Krishnamurthy Dvijotham (CoRR, 2025)