Atmospheric correction and oceanic constituents retrieval, with a neuro-variational method. - Julien Brajard; Sylvie Thiria; Cédric Jamet; Cyril Moulin (IJCNN, 2005)

Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols. - Julien Brajard; Cédric Jamet; Cyril Moulin; Sylvie Thiria (Neural Networks, 2006)

Validation of model simulations with respect to in situ observations by the use of probabilistic estimations. - Julien Brajard; Fouad Badran; Michel Crépon; Sylvie Thiria (IJCNN, 2008)

Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps. - Salam Sawadogo; Julien Brajard; Awa Niang; Cyril Lathuiliere; Michel Crépon; Sylvie Thiria (IJCNN, 2009)

Inverse Method for the Retrieval of Ocean Vertical Profiles using Self Organizing Maps and Hidden Markov Models - Application on Ocean Colour Satellite Image Inversion. - Anastase Alexandre Charantonis; Julien Brajard; Cyril Moulin; Bardan Fouad; Sylvie Thiria (IJCCI (NCTA), 2011)

Retrieving Aerosol Characteristics from Satellite Ocean Color Multi-spectral Sensors using a Neural-variational Method. - Daouda Diouf; Sylvie Thiria; Awa Niang; Julien Brajard; Michel Crépon (IJCCI (NCTA), 2011)

Estimation of Round-off Errors in OpenMP Codes. - Pacôme Eberhart; Julien Brajard; Pierre Fortin 001; Fabienne Jézéquel (IWOMP, 2016)

Improving CADNA Performance on GPUs. - Pacôme Eberhart; Baptiste Landreau; Julien Brajard; Pierre Fortin 001; Fabienne Jézéquel (IPDPS Workshops, 2018)

Learning Dynamical Systems from Partial Observations. - Ibrahim Ayed; Emmanuel de Bézenac; Arthur Pajot; Julien Brajard; Patrick Gallinari (CoRR, 2019)

Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning. - Marc Bocquet; Julien Brajard; Alberto Carrassi; Laurent Bertino (CoRR, 2020)

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. - Julien Brajard; Alberto Carrassi; Marc Bocquet; Laurent Bertino (J. Comput. Sci., 2020)

Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks. - Hugo Boulze; Anton A. Korosov; Julien Brajard (Remote. Sens., 2020)

Super-resolution data assimilation. - Sébastien Barthélémy; Julien Brajard; Laurent Bertino; François Counillon (CoRR, 2021)

Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting. - Vincent Bouget; Dominique Béréziat; Julien Brajard; Anastase Alexandre Charantonis; Arthur Filoche (Remote. Sens., 2021)

Learning 4DVAR Inversion Directly from Observations. - Arthur Filoche; Julien Brajard; Anastase Alexandre Charantonis; Dominique Béréziat (ICCS (4), 2023)

Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations. - Farouk Lemmouchi; Juan Cuesta 001; Mathieu Lachatre; Julien Brajard; Adriana Coman; Matthias Beekmann; Claude Derognat (Remote. Sens., 2023)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - 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; et al. (IEEE CAA J. Autom. Sinica, 2023)

Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables. - Khassoum Correa; Eric Machu; Julien Brajard; Daouda Diouf; Saidou Moustapha Sall; Hervé Demarcq (Remote. Sens., 2023)

Towards diffusion models for large-scale sea-ice modelling. - Tobias Sebastian Finn; Charlotte Durand; Alban Farchi; Marc Bocquet; Julien Brajard (CoRR, 2024)

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. - Simon Driscoll; Alberto Carrassi; Julien Brajard; Laurent Bertino; Marc Bocquet; Einar Örn Ólason (J. Comput. Sci., 2024)