| Comparison between robust and stochastic optimisation for long-term reservoir management under uncertainty T Cuvelier, P Archambeau, B Dewals, Q Louveaux Water resources management 32, 1599-1614, 2018 | 21 | 2018 |
| Statistically efficient, polynomial-time algorithms for combinatorial semi-bandits T Cuvelier, R Combes, E Gourdin Proceedings of the ACM on Measurement and Analysis of Computing Systems 5 (1 …, 2021 | 20 | 2021 |
| Ral-improving stream-based active learning by reinforcement learning S Wassermann, T Cuvelier, P Casas European Conference on Machine Learning and Principles and Practice of …, 2019 | 18 | 2019 |
| NETPerfTrace: Predicting Internet path dynamics and performance with machine learning S Wassermann, P Casas, T Cuvelier, B Donnet Proceedings of the Workshop on Big Data Analytics and Machine Learning for …, 2017 | 14 | 2017 |
| Adaptive and reinforcement learning approaches for online network monitoring and analysis S Wassermann, T Cuvelier, P Mulinka, P Casas IEEE Transactions on Network and Service Management 18 (2), 1832-1849, 2020 | 11 | 2020 |
| Asymptotically optimal strategies for combinatorial semi-bandits in polynomial time T Cuvelier, R Combes, E Gourdin Algorithmic Learning Theory, 505-528, 2021 | 7 | 2021 |
| ADAM & RAL: Adaptive memory learning and reinforcement active learning for network monitoring S Wassermann, T Cuvelier, P Mulinka, P Casas 2019 15th International Conference on Network and Service Management (CNSM), 1-9, 2019 | 6 | 2019 |
| Créer des applications graphiques en Python avec PyQt5 T Cuvelier, P Denis Éditions D-BookeR, 2017 | 3 | 2017 |
| Implementing and Comparing Stochastic and Robust Programming T Cuvelier ULiège-Université de Liège, 2015 | 2 | 2015 |
| OR-Tools' Vehicle Routing Solver: a Generic Constraint-Programming Solver with Heuristic Search for Routing Problems T Cuvelier, F Didier, V Furnon, S Gay, S Mohajeri, L Perron 24e congrès annuel de la société française de recherche opérationnelle et d …, 2023 | 1* | 2023 |
| Embedding reservoirs in industrial models to exploit their flexibility T Cuvelier SN Applied Sciences 2 (12), 2171, 2020 | 1 | 2020 |
| RAL: reinforcement active learning for network traffic monitoring and analysis S Wassermann, T Cuvelier, P Casas Proceedings of the SIGCOMM'20 Poster and Demo Sessions, 55-56, 2020 | 1 | 2020 |
| Middle-Mile Logistics Through the Lens of Goal-Conditioned Reinforcement Learning O Eberhard, T Cuvelier, M Valko, BA De Backer NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning, 2023 | | 2023 |
| Seleroute. jl, a generic package for network-routing optimisation T Cuvelier Julia and Optimization Days 2023, 2023 | | 2023 |
| À la découverte de Julia! T Cuvelier | | 2022 |
| ConstraintProgrammingExtensions. jl T Cuvelier JuliaCon 2021 (with JuMP-dev), 2021 | | 2021 |
| Polynomial-Time Algorithms for Combinatorial Semibandits: Computationally Tractable Reinforcement Learning in Complex Environments T Cuvelier université Paris-Saclay, 2021 | | 2021 |
| Improving Stream-Based Active Learning with Reinforcement Learning S Wassermann, T Cuvelier, P Casas Women in Machine Learning (WiML) Workshop 2019, 2019 | | 2019 |
| Operation rules of the Vesdre reservoir revisited B Dewals, T Cuvelier, P Archambeau, S Erpicum, M Pirotton, Q Louveaux 6th International Symposium on Hydrological Modelling of the Meuse basin, 2019 | | 2019 |
| Oblivious Routing: Static Routing Prepared Against Network Traffic and Link Failures T Cuvelier, E Gourdin Network Traffic Measurement and Analysis Conference, 2019 | | 2019 |
Sarah WassermannCybersecurity researcher @VadeVerified email at wassermann.lu
Sarah WassermannCybersecurity researcher @VadeVerified email at wassermann.lu