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Augustin Parjadis
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2020 – today
- 2024
- [c4]Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau:
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP 2024: 22:1-22:18 - 2023
- [c3]Augustin Parjadis, Quentin Cappart, Quentin Massoteau, Louis-Martin Rousseau:
Repositioning Fleet Vehicles: A Learning Pipeline. LION 2023: 301-317 - [i2]Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau:
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR abs/2312.14836 (2023) - 2022
- [j1]Quentin Cappart, David Bergman, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Augustin Parjadis:
Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning. INFORMS J. Comput. 34(5): 2552-2570 (2022) - [i1]Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR abs/2203.02433 (2022) - 2021
- [c2]Augustin Parjadis, Quentin Cappart, Louis-Martin Rousseau, David Bergman:
Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning. CPAIOR 2021: 446-455 - [c1]Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 2021: 220-231
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