Julien Brajard

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Topics

Noisy Observations

Sensitivity Analysis

Dynamical Model

Diffusion Models

Top Venues

J. Comput. Sci.

Publications

Simon Driscoll, Alberto Carrassi, Julien Brajard, Laurent Bertino, Marc Bocquet, Einar Örn Ólason
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. J. Comput. Sci. 79 (2024)
Tobias Sebastian Finn, Charlotte Durand, Alban Farchi, Marc Bocquet, Julien Brajard
Towards diffusion models for large-scale sea-ice modelling. CoRR (2024)
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
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR (2023)
Farouk Lemmouchi, Juan Cuesta, Mathieu Lachatre, Julien Brajard, Adriana Coman, Matthias Beekmann, Claude Derognat
Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations. Remote. Sens. 15 (6) (2023)
Khassoum Correa, Eric Machu, Julien Brajard, Daouda Diouf, Saidou Moustapha Sall, Hervé Demarcq
Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables. Remote. Sens. 15 (14) (2023)
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
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10 (6) (2023)
Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat
Learning 4DVAR Inversion Directly from Observations. ICCS (4) (2023)
Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat
Learning 4DVAR inversion directly from observations. CoRR (2022)
Sébastien Barthélémy, Julien Brajard, Laurent Bertino, François Counillon
Super-resolution data assimilation. CoRR (2021)
Vincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Alexandre Charantonis, Arthur Filoche
Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting. Remote. Sens. 13 (2) (2021)
Hugo Boulze, Anton A. Korosov, Julien Brajard
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks. Remote. Sens. 12 (13) (2020)
Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning. CoRR (2020)
Vincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Alexandre Charantonis, Arthur Filoche
Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting. CoRR (2020)
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino
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 (2020)
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino
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. 44 (2020)
Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari
Learning Dynamical Systems from Partial Observations. CoRR (2019)
Pacôme Eberhart, Baptiste Landreau, Julien Brajard, Pierre Fortin, Fabienne Jézéquel
Improving CADNA Performance on GPUs. IPDPS Workshops (2018)
Pacôme Eberhart, Julien Brajard, Pierre Fortin, Fabienne Jézéquel
Estimation of Round-off Errors in OpenMP Codes. IWOMP (2016)
Anastase Alexandre Charantonis, Julien Brajard, Cyril Moulin, Bardan Fouad, Sylvie Thiria
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) (2011)
Daouda Diouf, Sylvie Thiria, Awa Niang, Julien Brajard, Michel Crépon
Retrieving Aerosol Characteristics from Satellite Ocean Color Multi-spectral Sensors using a Neural-variational Method. IJCCI (NCTA) (2011)
Salam Sawadogo, Julien Brajard, Awa Niang, Cyril Lathuiliere, Michel Crépon, Sylvie Thiria
Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps. IJCNN (2009)
Julien Brajard, Fouad Badran, Michel Crépon, Sylvie Thiria
Validation of model simulations with respect to in situ observations by the use of probabilistic estimations. IJCNN (2008)
Julien Brajard, Cédric Jamet, Cyril Moulin, Sylvie Thiria
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols. Neural Networks 19 (2) (2006)