Julien Brajard
Présentation
Publications
Publications
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Learning 4DVAR inversion directly from observationsWorkshop on Machine Learning and Data Assimilation for Dynamical Systems (MLDADS), International Conference on Computational Science (ICCS), Jul 2023, Prague, Czech Republic |
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Variational assimilation of Geophysical images leveraging deep learning toolsORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France |
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Mesoscale Activity in the Eastern Mediterranean: Blending Altimetry with in situ observationsEGU General assembly 2020, May 2020, virtual, Zimbabwe. ⟨10.5194/egusphere-egu2020-20407⟩ |
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Completing physics-based models by learning hidden dynamics through data assimilationNeurIPS 2020, workshop AI4Earth, Dec 2020, Vancouver (virtual), Canada |
Can a neural network learn a numerical model ?EGU General Assembly, Apr 2018, Vienne, Austria |
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Improving CADNA Performance on GPUs2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2018, Vancouver, Canada. pp.1016-1025, ⟨10.1109/IPDPSW.2018.00156⟩ |
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Predicting Ocean Dynamics through Machine Learning: Application on Sea-Surface Suspended Particulate MaterAmerican Meteorological Society Annual Meeting 2017, American Meteorological Society, Jan 2017, Seattle, United States |
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Estimation of Round-off Errors in OpenMP CodesIWOMP 2016 - 12th International Workshop on OpenMP, Riken AICS, Oct 2016, Nara, Japan. pp.3-16, ⟨10.1007/978-3-319-45550-1_1⟩ |
Determination of phytoplankton groups from space: application to senegalo-mauritanean upwellingEGU General Assembly, 2016, Vienne, Austria. pp.15098 |
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Ensemble variational data assimilation with a shallow-water model: preliminary resultsEGU General Assembly, Apr 2016, Vienne, Austria. pp.14836 |
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Towards high performance stochastic arithmetic16th international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2014), Sep 2014, Würzburg, Germany. pp.47-48 |
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Determination of phytoplankton groups from ocean color spectral measurements in the Senegalo-Mauritanian upwellingOcean Optics, The Oceanography Society (TOS), Oct 2014, Portland, Maine, United States |
Numerical Validation of Data Assimilation Codes Generated by the YAO SoftwareSIAM Annual Meeting, Jul 2013, San Diego, CA, United States |
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Neuro-Variational Inversion Applied to Ocean Color Remote SensingAmerican Meteorological Society Annual Meeting, 2012, La Nouvelle Orléans, United States |
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Inverse method for the retrieval of ocean vertical profiles using self-organizing maps and hidden Markov models - Application on Ocean Colour Satellite Image InversionNCTA 2011 : NCTA- International Conference on Neural Computation Theory and Applications, 2011, Paris, France |
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Inversion of sea surface data to retrieve the vertical distribution of phytoplankton using a statistical methodologyCongrès European Geophysical Union, 2011, Vienne, Austria |
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Variational data assimilation in NEMO using YAOCongrès European Geophysical Union, 2011, Vienne, Austria |
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Atmospheric correction and chlorophyll-a restitution in presence of Saharan dustsCongrès European Geophysical Union, 2011, Vienne, Austria |
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Modeling Surface Currents in the Eastern Levantine MediterraneanEGU General Assembly, Apr 2015, Vienna, Austria. 17, pp.8888 |
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Spatial Distribution of Aerosol Optical Thickness Retrieved from SeaWiFS Images by a Neural Network Inversion over the West African CoastAerosols-Science and Case Studies, InTech, 2016, 978-953-51-2843-4. ⟨10.5772/65874⟩ |
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Towards diffusion models for large-scale sea-ice modelling2025 |
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Learning Dynamical Systems from Partial Observations2019 |
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Automatic generation of parallel and coherent code using the YAO variational data assimilation framework2016 |