Quentin Febvre

According to our database, Quentin Febvre authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Scale-Aware Neural Calibration for Wide Swath Altimetry Observations.

Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Deep learning for ocean satellite altimetry : specificities and practical implications. (Apprentissage profond pour l'altimétrie satellitaire océanique : spécificités et implications pratiques).

Quentin Febvre

PhD thesis, 2023

Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies.

Ronan Fablet, Quentin Febvre, Bertrand Chapron

IEEE Trans. Geosci. Remote. Sens., 2023

Reversible designs for extreme memory cost reduction of CNN training.

Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi

EURASIP J. Image Video Process., 2023

Training neural mapping schemes for satellite altimetry with simulation data.

Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet

CoRR, 2023

OceanBench: The Sea Surface Height Edition.

J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-Driven Reconstruction of Sea Surface Turbidity Dynamics with 4dVarNet Neural Scheme Applied To Gappy Satellite Images.

Clément Dorffer, Frédéric Jourdin, David Mouillot, Rodolphe Devillers, Ronan Fablet, Quentin Febvre

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Learning Neural Optimal Interpolation Models and Solvers.

Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models.

Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data.

Maxime Beauchamp, Mohamed Mahmoud Amar, Quentin Febvre, Ronan Fablet

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019

Reversible designs for extreme memory cost reduction of CNN training.

Tristan Hascoet, Quentin Febvre, Yasuo Ariki, Tetsuya Takiguchi

CoRR, 2019

Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training.

Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019