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ORCIDJulien Brajard
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2020 – today
- 2024
[j8]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: 102231 (2024)- [i8]Tobias Sebastian Finn, Charlotte Durand, Alban Farchi, Marc Bocquet, Julien Brajard:
Towards diffusion models for large-scale sea-ice modelling. CoRR abs/2406.18417 (2024) - 2023
- [j7]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): 1361-1387 (2023) - [j6]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): 1510 (2023) - [j5]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): 3613 (2023) - [c7]Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat:
Learning 4DVAR Inversion Directly from Observations. ICCS (4) 2023: 414-421 - [i7]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 abs/2303.10462 (2023) - 2022
- [i6]Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat:
Learning 4DVAR inversion directly from observations. CoRR abs/2211.09741 (2022) - 2021
- [j4]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): 246 (2021) - [i5]Sébastien Barthélémy, Julien Brajard, Laurent Bertino, François Counillon:
Super-resolution data assimilation. CoRR abs/2109.08017 (2021) - 2020
- [j3]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: 101171 (2020) - [j2]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): 2165 (2020) - [i4]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 abs/2001.01520 (2020) - [i3]Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino:
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning. CoRR abs/2001.06270 (2020) - [i2]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 abs/2012.05015 (2020)
2010 – 2019
- 2019
- [i1]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari:
Learning Dynamical Systems from Partial Observations. CoRR abs/1902.11136 (2019) - 2018
- [c6]Pacôme Eberhart, Baptiste Landreau, Julien Brajard, Pierre Fortin, Fabienne Jézéquel:
Improving CADNA Performance on GPUs. IPDPS Workshops 2018: 1016-1025 - 2016
- [c5]Pacôme Eberhart, Julien Brajard, Pierre Fortin, Fabienne Jézéquel:
Estimation of Round-off Errors in OpenMP Codes. IWOMP 2016: 3-16 - 2011
- [c4]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: 297-303 - [c3]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: 316-321
2000 – 2009
- 2009
- [c2]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: 2826-2832 - 2008
- [c1]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: 3015-3019 - 2006
- [j1]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): 178-185 (2006)
Coauthor Index
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