| 2025 | CPAIOR | Learning Primal Heuristics for 0-1 Knapsack Interdiction Problems. | Luca Ferrarini, Stefano Gualandi, Letizia Moro, Axel Parmentier |
| 2025 | ICLR | WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning. | Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer |
| 2024 | CPAIOR | Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles. | Alexandre Forel, Axel Parmentier, Thibaut Vidal |
| 2024 | ICML | Predicting Lagrangian Multipliers for Mixed Integer Linear Programs. | Francesco Demelas, Joseph Le Roux, Mathieu Lacroix, Axel Parmentier |
| 2024 | ICML | CF-OPT: Counterfactual Explanations for Structured Prediction. | Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier, Thibaut Vidal |
| 2023 | ICML | Explainable Data-Driven Optimization: From Context to Decision and Back Again. | Alexandre Forel, Axel Parmentier, Thibaut Vidal |
| 2021 | ICML | Optimal Counterfactual Explanations in Tree Ensembles. | Axel Parmentier, Thibaut Vidal |
| 2017 | CPAIOR | Learning When to Use a Decomposition. | Markus Kruber, Marco E. Lbbecke, Axel Parmentier |