Stochastic Shortest Paths and Risk Measures. - Axel Parmentier; Frédéric Meunier (CoRR, 2014)

A mathematical framework for delay analysis in single source networks. - Axel Parmentier; Samitha Samaranayake; Yiguang Xuan; Alexandre M. Bayen (ACC, 2015)

Solving the user equilibrium departure time problem at an off-ramp with incentive compatible cost functions. - Samitha Samaranayake; Axel Parmentier; Yiguang Xuan; Alexandre M. Bayen (ECC, 2015)

Algorithms for Non-Linear and Stochastic Resource Constrained Shortest Paths. - Axel Parmentier (CoRR, 2015)

Learning When to Use a Decomposition. - Markus Kruber; Marco E. Lübbecke; Axel Parmentier (CPAIOR, 2017)

A mathematical framework for delay analysis in single source networks. - Samitha Samaranayake; Axel Parmentier; Ethan Xuan; Alexandre M. Bayen (Networks Heterog. Media, 2017)

Two generalizations of Markov blankets. - Victor Cohen; Axel Parmentier (CoRR, 2019)

Algorithms for non-linear and stochastic resource constrained shortest path. - Axel Parmentier (Math. Methods Oper. Res., 2019)

Shift Planning Under Delay Uncertainty at Air France: A Vehicle-Scheduling Problem with Outsourcing. - Julie Poullet; Axel Parmentier (Transp. Sci., 2020)

Integer Programming on the Junction Tree Polytope for Influence Diagrams. - Axel Parmentier; Victor Cohen; Vincent Leclère; Guillaume Obozinski; Joseph Salmon (INFORMS J. Optim., 2020)

Optimal Counterfactual Explanations in Tree Ensembles. - Axel Parmentier; Thibaut Vidal (ICML, 2021)

Learning to solve the single machine scheduling problem with release times and sum of completion times. - Axel Parmentier; Vincent T'kindt (CoRR, 2021)

Learning structured approximations of operations research problems. - Axel Parmentier (CoRR, 2021)

Robust Counterfactual Explanations for Random Forests. - Alexandre Forel; Axel Parmentier; Thibaut Vidal (CoRR, 2022)

Learning with Combinatorial Optimization Layers: a Probabilistic Approach. - Guillaume Dalle; Léo Baty; Louis Bouvier; Axel Parmentier (CoRR, 2022)

Learning to Approximate Industrial Problems by Operations Research Classic Problems. - Axel Parmentier (Oper. Res., 2022)

Explainable Data-Driven Optimization: From Context to Decision and Back Again. - Alexandre Forel; Axel Parmentier; Thibaut Vidal (ICML, 2023)

Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control. - Kai Jungel; Axel Parmentier; Maximilian Schiffer; Thibaut Vidal (CoRR, 2023)

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs. - Francesco Demelas; Joseph Le Roux; Mathieu Lacroix 001; Axel Parmentier (CoRR, 2023)

Structured learning based heuristics to solve the single machine scheduling problem with release times and sum of completion times. - Axel Parmentier; Vincent T'kindt (Eur. J. Oper. Res., 2023)

Future memories are not needed for large classes of POMDPs. - Victor Cohen; Axel Parmentier (Oper. Res. Lett., 2023)

Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation. - Axel Parmentier; Rafael Martinelli; Thibaut Vidal (Transp. Sci., 2023)

Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles. - Alexandre Forel; Axel Parmentier; Thibaut Vidal (CPAIOR (1), 2024)

Predicting Lagrangian Multipliers for Mixed Integer Linear Programs. - Francesco Demelas; Joseph Le Roux; Mathieu Lacroix 001; Axel Parmentier (ICML, 2024)

CF-OPT: Counterfactual Explanations for Structured Prediction. - Germain Vivier-Ardisson; Alexandre Forel; Axel Parmentier; Thibaut Vidal (ICML, 2024)

DistrictNet: Decision-aware learning for geographical districting. - Cheikh Ahmed; Alexandre Forel; Axel Parmentier; Thibaut Vidal (NeurIPS, 2024)

Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems. - Pierre-Cyril Aubin-Frankowski; Yohann De Castro; Axel Parmentier; Alessandro Rudi (CoRR, 2024)

Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows. - Léo Baty; Kai Jungel; Patrick S. Klein; Axel Parmentier; Maximilian Schiffer (Transp. Sci., 2024)

Solving a Continent-Scale Inventory Routing Problem at Renault. - Louis Bouvier; Guillaume Dalle; Axel Parmentier; Thibaut Vidal (Transp. Sci., 2024)

Linear Lexicographic Optimization and Preferential Bidding System. - Nour El Houda Tellache; Frédéric Meunier; Axel Parmentier (Transp. Sci., 2024)

Learning Primal Heuristics for 0-1 Knapsack Interdiction Problems. - Luca Ferrarini; Stefano Gualandi; Letizia Moro; Axel Parmentier (CPAIOR (1), 2025)

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning. - Kai Jungel; Dario Paccagnan; Axel Parmentier; Maximilian Schiffer (ICLR, 2025)

Preference-aware compensation policies for crowdsourced on-demand services. - Georgina Nouli; Axel Parmentier; Maximilian Schiffer (CoRR, 2025)

Primal-dual algorithm for contextual stochastic combinatorial optimization. - Louis Bouvier; Thibault Prunet; Vincent Leclère; Axel Parmentier (CoRR, 2025)

Learning with Local Search MCMC Layers. - Germain Vivier-Ardisson; Mathieu Blondel; Axel Parmentier (CoRR, 2025)

Structured Reinforcement Learning for Combinatorial Decision-Making. - Heiko Hoppe; Léo Baty; Louis Bouvier; Axel Parmentier; Maximilian Schiffer (CoRR, 2025)