Zobrazeno 1 - 10
of 595
pro vyhledávání: '"A Prouvost"'
Numerical methods for the simulation of cavitation processes have been developed for more than 50 years. The rich variety of physical phenomena triggered by the collapse of a bubble has several applications in medicine and environmental science but r
Externí odkaz:
http://arxiv.org/abs/2404.18285
Autor:
Gasse, Maxime, Cappart, Quentin, Charfreitag, Jonas, Charlin, Laurent, Chételat, Didier, Chmiela, Antonia, Dumouchelle, Justin, Gleixner, Ambros, Kazachkov, Aleksandr M., Khalil, Elias, Lichocki, Pawel, Lodi, Andrea, Lubin, Miles, Maddison, Chris J., Morris, Christopher, Papageorgiou, Dimitri J., Parjadis, Augustin, Pokutta, Sebastian, Prouvost, Antoine, Scavuzzo, Lara, Zarpellon, Giulia, Yang, Linxin, Lai, Sha, Wang, Akang, Luo, Xiaodong, Zhou, Xiang, Huang, Haohan, Shao, Shengcheng, Zhu, Yuanming, Zhang, Dong, Quan, Tao, Cao, Zixuan, Xu, Yang, Huang, Zhewei, Zhou, Shuchang, Binbin, Chen, Minggui, He, Hao, Hao, Zhiyu, Zhang, Zhiwu, An, Kun, Mao
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolation, ignoring that they often stem from related data distributions in pr
Externí odkaz:
http://arxiv.org/abs/2203.02433
Publikováno v:
In Journal of Computational Physics 1 June 2024 506
Autor:
Glenn De Lange, Victor Prouvost, Gabriel Rahmi, Geoffroy Vanbiervliet, Catherine Le Berre, Sahar Mack, Thibaud Koessler, Emmanuel Coron
Publikováno v:
Endoscopy International Open, Vol 12, Iss 03, Pp E413-E418 (2024)
Externí odkaz:
https://doaj.org/article/133c46a421dc450ebaac1075543cdf49
In this paper we describe Ecole (Extensible Combinatorial Optimization Learning Environments), a library to facilitate integration of machine learning in combinatorial optimization solvers. It exposes sequential decision making that must be performed
Externí odkaz:
http://arxiv.org/abs/2104.02828
Autor:
Eugènia Mariné Barjoan, Amel Chaarana, Julie Festraëts, Carole Géloen, Bernard Prouvost-Keller, Kevin Legueult, Christian Pradier
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Introduction Socio-demographic factors are known to influence epidemic dynamics. The town of Nice, France, displays major socio-economic inequalities, according to the National Institute of Statistics and Economic Studies (INSEE), 10% of the
Externí odkaz:
https://doaj.org/article/a41ed702b566495588258a26d2973ed3
Autor:
Prouvost, Antoine, Dumouchelle, Justin, Scavuzzo, Lara, Gasse, Maxime, Chételat, Didier, Lodi, Andrea
We present Ecole, a new library to simplify machine learning research for combinatorial optimization. Ecole exposes several key decision tasks arising in general-purpose combinatorial optimization solvers as control problems over Markov decision proc
Externí odkaz:
http://arxiv.org/abs/2011.06069
Autor:
Prouvost, Victor1 (AUTHOR), Coron, Emmanuel2 (AUTHOR), Barret, Maximilien3 (AUTHOR), Verdier, Marine4 (AUTHOR), Chapelle, Nicolas1 (AUTHOR) nicolas.chapelle@chu-nantes.fr
Publikováno v:
Hépato-Gastro & Oncologie Digestive. jan2024, Vol. 31 Issue 1, p14-28. 15p.
This paper surveys the recent attempts, both from the machine learning and operations research communities, at leveraging machine learning to solve combinatorial optimization problems. Given the hard nature of these problems, state-of-the-art algorit
Externí odkaz:
http://arxiv.org/abs/1811.06128
Publikováno v:
In European Journal of Operational Research 16 April 2021 290(2):405-421