Julien Brajard

24 papers B 3Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks.
J. Comput. Sci.
Simon Driscoll, Alberto Carrassi, Julien Brajard, Laurent Bertino, Marc Bocquet, Einar Örn Ólason
2024 J jnl
Towards diffusion models for large-scale sea-ice modelling.
CoRR
Tobias Sebastian Finn, Charlotte Durand, Alban Farchi, Marc Bocquet, Julien Brajard
2023 J jnl
Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables.
Remote. Sens.
Khassoum Correa, Eric Machu, Julien Brajard, Daouda Diouf, Saidou Moustapha Sall, Hervé Demarcq
2023 — conf
Learning 4DVAR Inversion Directly from Observations.
ICCS (4)
Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat
2023 J jnl
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.
IEEE CAA J. Autom. Sinica
Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
2023 J jnl
Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations.
Remote. Sens.
Farouk Lemmouchi, Juan Cuesta, Mathieu Lachatre, Julien Brajard, Adriana Coman, Matthias Beekmann, Claude Derognat
2023 J jnl
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review.
CoRR
Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
2022 J jnl
Learning 4DVAR inversion directly from observations.
CoRR
Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat
2021 J jnl
Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting.
Remote. Sens.
Vincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Alexandre Charantonis, Arthur Filoche
2021 J jnl
Super-resolution data assimilation.
CoRR
Sébastien Barthélémy, Julien Brajard, Laurent Bertino, François Counillon
2020 J jnl
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning.
CoRR
Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino
2020 J jnl
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks.
Remote. Sens.
Hugo Boulze, Anton A. Korosov, Julien Brajard
2020 J jnl
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model.
J. Comput. Sci.
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino
2020 J jnl
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model.
CoRR
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino
2020 J jnl
Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting.
CoRR
Vincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Alexandre Charantonis, Arthur Filoche
2019 J jnl
Learning Dynamical Systems from Partial Observations.
CoRR
Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari
2018 — conf
Improving CADNA Performance on GPUs.
IPDPS Workshops
Pacôme Eberhart, Baptiste Landreau, Julien Brajard, Pierre Fortin, Fabienne Jézéquel
2016 — conf
Estimation of Round-off Errors in OpenMP Codes.
IWOMP
Pacôme Eberhart, Julien Brajard, Pierre Fortin, Fabienne Jézéquel
2011 — conf
Inverse Method for the Retrieval of Ocean Vertical Profiles using Self Organizing Maps and Hidden Markov Models - Application on Ocean Colour Satellite Image Inversion.
IJCCI (NCTA)
Anastase Alexandre Charantonis, Julien Brajard, Cyril Moulin, Bardan Fouad, Sylvie Thiria
2011 — conf
Retrieving Aerosol Characteristics from Satellite Ocean Color Multi-spectral Sensors using a Neural-variational Method.
IJCCI (NCTA)
Daouda Diouf, Sylvie Thiria, Awa Niang, Julien Brajard, Michel Crépon
2009 B conf
Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps.
IJCNN
Salam Sawadogo, Julien Brajard, Awa Niang, Cyril Lathuiliere, Michel Crépon, Sylvie Thiria
2008 B conf
Validation of model simulations with respect to in situ observations by the use of probabilistic estimations.
IJCNN
Julien Brajard, Fouad Badran, Michel Crépon, Sylvie Thiria
2006 J jnl
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols.
Neural Networks
Julien Brajard, Cédric Jamet, Cyril Moulin, Sylvie Thiria
2005 B conf
Atmospheric correction and oceanic constituents retrieval, with a neuro-variational method.
IJCNN
Julien Brajard, Sylvie Thiria, Cédric Jamet, Cyril Moulin