May 1, 2024 � This paper addresses these challenges by introducing a hydraulics-informed graph neural network for flood simulation. Given a (geographical)�...
Machine learning methods for modeling physical processes and solv- ing PDEs can be applied to flood simulation given the sim- ilarities in tasks performed. The�...
This the code our paper "Pluvial Flood Emulation with Hydraulics-informed Message Passing" published at ICML 2024
2024. Arnold Kazadi, James Doss-Gollin, Arlei Silva, “Pluvial Flood Emulation with Hydraulics-informed Message Passing”, ICML, 2024. Paper Code. 2024. Arnold�...
Flood modeling is an important tool for supporting preventive and emergency measures to mitigate flood risks. Recently, there has been an increasing�...
Pluvial Flood Emulation with Hydraulics-informed Message Passing Arnold Kazadi, James Doss-Gollin, Arlei Silva International Conference on Machine Learning�...
Jun 3, 2024 � Sharing our recent works appearing in * ICML 2024: "Pluvial Flood Emulation with Hydraulics-informed Message Passing" with Arlei Silva and James�...
Pluvial Flood Emulation With Hydraulics-Informed Message Passing, Arnold Kazadi, James Doss-Gollin, Arlei Silva, Forty-First International Conference on�...
Pluvial Flood Emulation with Hydraulics-informed Message Passing � The Merit of River Network Topology for Neural Flood Forecasting. Physics. Subequivariant�...
Aug 28, 2024 � Sharing our recent works appearing in * ICML 2024: "Pluvial Flood Emulation with Hydraulics-informed Message Passing" with Arlei Silva and�...