Julien Brajard

Orcid: 0000-0003-0634-1482

According to our database1, Julien Brajard authored at least 17 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables.
Remote. Sens., July, 2023

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.
IEEE CAA J. Autom. Sinica, June, 2023

Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations.
Remote. Sens., March, 2023

Learning 4DVAR Inversion Directly from Observations.
Proceedings of the Computational Science - ICCS 2023, 2023

2021
Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting.
Remote. Sens., 2021

Super-resolution data assimilation.
CoRR, 2021

2020
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks.
Remote. Sens., 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.
J. Comput. Sci., 2020

Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning.
CoRR, 2020

2019
Learning Dynamical Systems from Partial Observations.
CoRR, 2019

2018
Improving CADNA Performance on GPUs.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2016
Estimation of Round-off Errors in OpenMP Codes.
Proceedings of the OpenMP: Memory, Devices, and Tasks, 2016

2011
Retrieving Aerosol Characteristics from Satellite Ocean Color Multi-spectral Sensors using a Neural-variational Method.
Proceedings of the NCTA 2011, 2011

Inverse Method for the Retrieval of Ocean Vertical Profiles using Self Organizing Maps and Hidden Markov Models - Application on Ocean Colour Satellite Image Inversion.
Proceedings of the NCTA 2011, 2011

2009
Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Validation of model simulations with respect to in situ observations by the use of probabilistic estimations.
Proceedings of the International Joint Conference on Neural Networks, 2008

2006
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols.
Neural Networks, 2006


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