123 citations · 173 across the 13 of their papers we have counts for
4 papers · 1 filter
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations)
Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat +3
This paper proposes a novel Machine Learning-based approach to solve a Poisson problem with mixed boundary conditions. Leveraging Graph Neural Networks, we develop a model able to…
Rotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations
Francesco Saverio Pezzicoli, Guillaume Charpiat, François P. Landes
The difficult problem of relating the static structure of glassy liquids and their dynamics is a good target for Machine Learning, an approach which excels at finding complex patte…
Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations
Tamon Nakano, Alessandro Michele Bucci, Jean-Marc Gratien +2
The volume of fluid (VoF) method is widely used in multi-phase flow simulations to track and locate the interface between two immiscible fluids. A major bottleneck of the VoF metho…
Docent: A content-based recommendation system to discover contemporary art
Antoine Fosset, Mohamed El-Mennaoui, Amine Rebei +9
Recommendation systems have been widely used in various domains such as music, films, e-shopping etc. After mostly avoiding digitization, the art world has recently reached a techn…