Axel Parmentier

6 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver

Venues

ICML (4) ICLR (1) NeurIPS (1)

Top co-authors

Thibaut Vidal (4) Alexandre Forel (3) Francesco Demelas (1) Kai Jungel (1) Maximilian Schiffer (1) Joseph Le Roux (1) Mathieu Lacroix (1) Dario Paccagnan (1) Cheikh Ahmed (1) Germain Vivier-Ardisson (1)

Research topics

Machine Learning (6) Optimization & Theory (5) Artificial Intelligence (4) Core AI (4) Deep Learning (3) Mathematics & Optimization (2) Architectures (2) Optimization (2) Data Science & Analytics (1) Applications (1) Core Methods (1) Models (1)

Keywords

counterfactual explanation (3) graph neural network (2) combinatorial optimization (2) bregman divergence (1) mixed integer programming (1) lagrangian relaxation (1) continuous relaxation (1) tree ensemble (1) variational autoencoder (1) latent space (1) nearest-neighbor predictor (1) first-order optimization (1) random forest (1) data-driven optimization (1) traffic flow prediction (1) isolation forest (1) lagrange multiplier (1) probabilistic encoder (1) operations management (1) mixed integer linear program (1)

Papers

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning ICLR 2025 CF-OPT: Counterfactual Explanations for Structured Prediction ICML 2024 DistrictNet: Decision-aware learning for geographical districting NeurIPS 2024 Predicting Lagrangian Multipliers for Mixed Integer Linear Programs ICML 2024 Explainable Data-Driven Optimization: From Context to Decision and Back Again ICML 2023 Optimal Counterfactual Explanations in Tree Ensembles ICML 2021