Publications (38)
Learning structured approximations of combinatorial optimization problems
Axel Parmentier
Linear Programming for Decision Processes with Partial Information
Victor Cohen, Axel Parmentier
Linear lexicographic optimization and preferential bidding system
Nour ElHouda Tellache, Frédéric Meunier, Axel Parmentier
Differentiable Knapsack and Top-k Operators via Dynamic Programming
Germain Vivier-Ardisson, Michaël E. Sander, Axel Parmentier +1
Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing
Toni Greif, Louis Bouvier, Christoph M. Flath +3
Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
Francesco Demelas, Joseph Le Roux, Mathieu Lacroix +1
Explainable Data-Driven Optimization: From Context to Decision and Back Again
Alexandre Forel, Axel Parmentier, Thibaut Vidal
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Guillaume Dalle, Léo Baty, Louis Bouvier +1
Optimizing a Worldwide-Scale Shipper Transportation Planning in a Carmaker Inbound Supply Chain
Mathis Brichet, Maximilian Schiffer, Axel Parmentier
Integer programming on the junction tree polytope for influence diagrams
Axel Parmentier, Victor Cohen, Vincent Leclère +2
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems
Pierre-Cyril Aubin-Frankowski, Yohann De Castro, Axel Parmentier +1
Managing delay in tail assignment: from minimum turn time to stochastic routing at Air France
Léo Baty, Axel Parmentier
Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles
Alexandre Forel, Axel Parmentier, Thibaut Vidal
Learning with Local Search MCMC Layers
Germain Vivier-Ardisson, Mathieu Blondel, Axel Parmentier
Electric Vehicle Fleets: Scalable Route and Recharge Scheduling through Column Generation
Axel Parmentier, Rafael Martinelli, Thibaut Vidal
Regularized Large Neighborhood Search
Germain Vivier-Ardisson, Laurent Demonet, Axel Parmentier +1
Solving a Continent-Scale Inventory Routing Problem at Renault
Louis Bouvier, Guillaume Dalle, Axel Parmentier +1
Primal-dual algorithm for contextual stochastic combinatorial optimization
Louis Bouvier, Thibault Prunet, Vincent Leclère +1
The paper proposes a primal‑dual learning algorithm that combines neural networks with combinatorial optimization layers to solve contextual stochastic optimization problems, provi…
Operational route planning under uncertainty for Demand Adaptive Systems
Benedikt Lienkamp, Mike Hewitt, Axel Parmentier +1
Aircraft routing and crew pairing: updated algorithms at Air France
Axel Parmentier, Frédéric Meunier
Future memories are not needed for large classes of POMDPs
Victor Cohen, Axel Parmentier
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
Kai Jungel, Dario Paccagnan, Axel Parmentier +1
Integer programming for weakly coupled stochastic dynamic programs with partial information
Victor Cohen, Axel Parmentier
Structured Reinforcement Learning for Combinatorial Decision-Making
Heiko Hoppe, Léo Baty, Louis Bouvier +2
Combinatorial Optimization Augmented Machine Learning
Maximilian Schiffer, Heiko Hoppe, Yue Su +2
DistrictNet: Decision-aware learning for geographical districting
Cheikh Ahmed, Alexandre Forel, Axel Parmentier +1
Algorithms for Non-Linear and Stochastic Resource Constrained Shortest Paths
Axel Parmentier
Stochastic Shortest Paths and Risk Measures
Axel Parmentier, Frédéric Meunier
Ground staff shift planning under delay uncertainty at Air France
Julie Poullet, Axel Parmentier
CF-OPT: Counterfactual Explanations for Structured Prediction
Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier +1
Optimal Counterfactual Explanations in Tree Ensembles
Axel Parmentier, Thibaut Vidal
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
Kai Jungel, Axel Parmentier, Maximilian Schiffer +1
Learning to solve the single machine scheduling problem with release times and sum of completion times
Axel Parmentier, Vincent T'Kindt
Aircraft routing: periodicity and complexity
Frédéric Meunier, Axel Parmentier, Nour ElHouda Tellache
Two generalizations of Markov blankets
Victor Cohen, Axel Parmentier
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows
Léo Baty, Kai Jungel, Patrick S. Klein +2
Resource constrained shortest path algorithm for EDF short-term thermal production planning problem
Markus Kruber, Axel Parmentier, Pascal Benchimol
Preference-aware compensation policies for crowdsourced on-demand services
Georgina Nouli, Axel Parmentier, Maximilian Schiffer