5 citations · 6 across the 8 of their papers we have counts for
3 papers · 1 filter
Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents
Abdessamad El-Kabid, Loubna Benabbou, Redouane Lguensat +1
Accurate modeling of physical systems governed by partial differential equations is a central challenge in scientific computing. In oceanography, high-resolution current data are c…
Rule-Extraction Methods From Feedforward Neural Networks: A Systematic Literature Review
Sara El Mekkaoui, Loubna Benabbou, Abdelaziz Berrado
Motivated by the interpretability question in ML models as a crucial element for the successful deployment of AI systems, this paper focuses on rule extraction as a means for neura…
MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif, Dan Assouline, Loubna Benabbou +1
The computational complexity of classical numerical methods for solving Partial Differential Equations (PDE) scales significantly as the resolution increases. As an important examp…