Axel Parmentier

According to our database, Axel Parmentier authored at least 32 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Preference-aware compensation policies for crowdsourced on-demand services.

Georgina Nouli, Axel Parmentier, Maximilian Schiffer

CoRR, February, 2025

2024

Linear Lexicographic Optimization and Preferential Bidding System.

Nour El Houda Tellache, Frédéric Meunier, Axel Parmentier

Transp. Sci., 2024

Solving a Continent-Scale Inventory Routing Problem at Renault.

Louis Bouvier, Guillaume Dalle, Axel Parmentier, Thibaut Vidal

Transp. Sci., 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

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning.

Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer

CoRR, 2024

Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems.

Pierre-Cyril Aubin-Frankowski, Yohann De Castro, Axel Parmentier, Alessandro Rudi

CoRR, 2024

DistrictNet: Decision-aware learning for geographical districting.

Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CF-OPT: Counterfactual Explanations for Structured Prediction.

Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier, Thibaut Vidal

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Predicting Lagrangian Multipliers for Mixed Integer Linear Programs.

Francesco Demelas, Joseph Le Roux, Mathieu Lacroix, Axel Parmentier

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles.

Alexandre Forel, Axel Parmentier, Thibaut Vidal

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023

Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation.

Axel Parmentier, Rafael Martinelli, Thibaut Vidal

Transp. Sci., May, 2023

Future memories are not needed for large classes of POMDPs.

Victor Cohen, Axel Parmentier

Oper. Res. Lett., May, 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

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs.

Francesco Demelas, Joseph Le Roux, Mathieu Lacroix, Axel Parmentier

CoRR, 2023

Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control.

Kai Jungel, Axel Parmentier, Maximilian Schiffer, Thibaut Vidal

CoRR, 2023

Explainable Data-Driven Optimization: From Context to Decision and Back Again.

Alexandre Forel, Axel Parmentier, Thibaut Vidal

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning to Approximate Industrial Problems by Operations Research Classic Problems.

Axel Parmentier

Oper. Res., 2022

Learning with Combinatorial Optimization Layers: a Probabilistic Approach.

Guillaume Dalle, Léo Baty, Louis Bouvier, Axel Parmentier

CoRR, 2022

Robust Counterfactual Explanations for Random Forests.

Alexandre Forel, Axel Parmentier, Thibaut Vidal

CoRR, 2022

2021

Learning structured approximations of operations research problems.

Axel Parmentier

CoRR, 2021

Learning to solve the single machine scheduling problem with release times and sum of completion times.

Axel Parmentier, Vincent T'kindt

CoRR, 2021

Optimal Counterfactual Explanations in Tree Ensembles.

Axel Parmentier, Thibaut Vidal

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Integer Programming on the Junction Tree Polytope for Influence Diagrams.

Axel Parmentier, Victor Cohen, Vincent Leclère, Guillaume Obozinski, Joseph Salmon

INFORMS J. Optim., July, 2020

Shift Planning Under Delay Uncertainty at Air France: A Vehicle-Scheduling Problem with Outsourcing.

Julie Poullet, Axel Parmentier

Transp. Sci., 2020

2019

Algorithms for non-linear and stochastic resource constrained shortest path.

Axel Parmentier

Math. Methods Oper. Res., 2019

Two generalizations of Markov blankets.

Victor Cohen, Axel Parmentier

CoRR, 2019

2017

A mathematical framework for delay analysis in single source networks.

Samitha Samaranayake, Axel Parmentier, Ethan Xuan, Alexandre M. Bayen

Networks Heterog. Media, 2017

Learning When to Use a Decomposition.

Markus Kruber, Marco E. Lübbecke, Axel Parmentier

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

2015

Algorithms for Non-Linear and Stochastic Resource Constrained Shortest Paths.

Axel Parmentier

CoRR, 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

Proceedings of the 14th European Control Conference, 2015

A mathematical framework for delay analysis in single source networks.

Axel Parmentier, Samitha Samaranayake, Yiguang Xuan, Alexandre M. Bayen

Proceedings of the American Control Conference, 2015

2014

Stochastic Shortest Paths and Risk Measures.

Axel Parmentier, Frédéric Meunier

CoRR, 2014