130 citations · 290 across the 26 of their papers we have counts for
5 papers · 1 filter
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields
Matteo Zambra, Nicolas Farrugia, Dorian Cazau +2
Wind speed at sea surface is a key quantity for a variety of scientific applications and human activities. Due to the non-linearity of the phenomenon, a complete description of suc…
Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems
Said Ouala, Bertrand Chapron, Fabrice Collard +2
Artificial intelligence and deep learning are currently reshaping numerical simulation frameworks by introducing new modeling capabilities. These frameworks are extensively investi…
Neural SPDE solver for uncertainty quantification in high-dimensional space-time dynamics
Maxime Beauchamp, Ronan Fablet, Hugo Georgenthum
Historically, the interpolation of large geophysical datasets has been tackled using methods like Optimal Interpolation (OI) or model-based data assimilation schemes. However, the…
Gradient-free online learning of subgrid-scale dynamics with neural emulators
Hugo Frezat, Ronan Fablet, Guillaume Balarac +1
In this paper, we propose a generic algorithm to train machine learning-based subgrid parametrizations online, i.e., with loss functions, but for non-differ…
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting
Gabriel Spadon, Jay Kumar, Derek Eden +6
This paper addresses the challenge of boosting the precision of multi-path long-term vessel trajectory forecasting on engineered sequences of Automatic Identification System (AIS)…