Sommer, Julien Le

1. Training neural mapping schemes for satellite altimetry with simulation data
   2023/09/19 by Quentin Febvre, Febvre, Quentin, Julien Le Sommer +5 · 3 citations
   Earth and Planetary Sciences · #Oceanographic and Atmospheric Processes #Ocean Waves and Remote Sensing #Meteorological Phenomena and Simulations
2. Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets
   2022/11/23 by Fablet, Ronan, Chapron, Bertrand, Sommer, Julien Le +1 · 2 citations
   #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
3. Gradient-free online learning of subgrid-scale dynamics with neural emulators
   2023/10/30 by Frezat, Hugo, Fablet, Ronan, Balarac, Guillaume +1 · 2 citations
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
4. OceanBench: The Sea Surface Height Edition
   2023/09/27 by Johnson, J. Emmanuel, Febvre, Quentin, Gorbunova, Anastasia +4 · 2 citations
   #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
5. A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps
   2021/11/12 by Frezat, Hugo, Sommer, Julien Le, Fablet, Ronan +2 · 1 citation
   #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
6. A DNN Framework for Learning Lagrangian Drift With Uncertainty
   2022/04/12 by Joseph Jenkins, Adeline Paiement, Jenkins, Joseph +11 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)