1 citations · 1 across the 3 of their papers we have counts for
4 papers
Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection
Guillaume Coulaud, Reza Akbarinia, Florent Masseglia
Reconstruction-based methods are widely used for time series anomaly detection, where models are trained to reconstruct subsequences, and anomalies are identified through reconstru…
TRAKNN: Efficient Trajectory Aware Spatiotemporal kNN for Rare Meteorological Trajectory Detection
Guillaume Coulaud, Davide Faranda
Extreme weather events, such as windstorms and heatwaves, are driven by persistent atmospheric circulation patterns that evolve over several consecutive days. While traditional cir…
Investigations on Physics-Informed Neural Networks for Aerodynamics
Guillaume Coulaud, Maxime Le, Régis Duvigneau
Physics-Informed Neural Networks (PINNs) have recently emerged as a novel approach to simulate complex physical systems on the basis of both data observations and physical models.…
Application of deep learning to the estimation of normalization coefficients in diffusion-based covariance models
Folke K Skrunes, Mayeul Destouches, Anthony Weaver +3
Variational data assimilation in ocean models depends on the ability to model general correlation operators in the presence of coastlines. Grid-point filters based on diffusion ope…