Parmentier, Axel

7 publications

NeurIPS 2025 Structured Reinforcement Learning for Combinatorial Decision-Making Heiko Hoppe, Léo Baty, Louis Bouvier, Axel Parmentier, Maximilian Schiffer

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

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

NeurIPS 2024 DistrictNet: Decision-Aware Learning for Geographical Districting Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal

ICML 2024 Predicting Lagrangian Multipliers for Mixed Integer Linear Programs Francesco Demelas, Joseph Le Roux, Mathieu Lacroix, Axel Parmentier

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

ICML 2021 Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier, Thibaut Vidal