Guillaume Dalle
- Laboratoire Ville, Mobilité, Transport (LVMT)
Présentation
Publications
Publications
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Sparser, Better, Faster, Stronger: Sparsity Detection for Efficient Automatic DifferentiationTransactions on Machine Learning Research Journal, 2025 |
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Minimax estimation of partially-observed vector autoregressionsElectronic Journal of Statistics , 2025, 19 (1), ⟨10.1214/25-EJS2387⟩ |
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Solving a Continent-Scale Inventory Routing Problem at RenaultTransportation Science, 2023, 58 (1), ⟨10.1287/trsc.2022.0342⟩ |
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Learning to Solve Stochastic Multi-Agent Path Finding23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France |
Large Neighborhood Search and Structured Prediction for the Inventory Routing Problem23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France |
Linear and combinatorial optimization on GPUsPremière rencontre nationale du RT Optimisation, Nov 2025, Villeurbanne, France. |
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Revisiting Sparse Matrix Coloring and Bicoloring2025 |
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A Common Interface for Automatic Differentiation2025 |
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Learning with Combinatorial Optimization Layers: a Probabilistic Approach2022 |
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Machine learning and combinatorial optimization algorithms, with applications to railway planningOptimization and Control [math.OC]. École des Ponts ParisTech, 2022. English. ⟨NNT : 2022ENPC0047⟩ |
Optimal Performance of Graph Convolutional Networks on the Contextual Stochastic Block ModelLearning on Graphs Conference, Nov 2024, Virtual event, United States. Proceedings of Machine Learning Research, 269, pp.21:1-21:17, 2025 |
An Illustrated Guide to Automatic Sparse Differentiation2025 |