FILOCHE Arthur
Équipe : PEQUAN
Invité par : Dominique BÉRÉZIAT
Date d'arrivée : 01/12/2022
- Sorbonne Université - LIP6
Boîte courrier 169
Couloir 26-00, Étage 3, Bureau 338
4 place Jussieu
75252 PARIS CEDEX 05
Tel: 01 44 27 71 30, Arthur.Filoche (at) nulllip6.fr
https://fr.linkedin.com/in/arthur-filoche
Publications 2020-2024
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2024
- Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat : “Pre-training and Fine-tuning Attention Based Encoder Decoder Improves Sea Surface Height Multi-variate Inpainting”, VISAPP 2024 - 19th International Conference on Computer Vision Theory and Applications, Roma, Italy (2024)
- Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat, S. Thiria : “Learning Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations”, James, Journal of Advancing in Modeling Earth Syst, vol. 16 (6), pp. e2023ms004047, (AGU) (2024)
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2023
- A. Filoche, J. Brajard, A. Charantonis, D. Béréziat : “Learning 4DVAR inversion directly from observations”, Workshop on Machine Learning and Data Assimilation for Dynamical Systems (MLDADS), International Conference on Computational Science (ICCS), Prague, Czechia (2023)
- Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat : “Multimodal Unsupervised Spatio-Temporal Interpolation of satellite ocean altimetry maps”, Proceedings of the 18th International Conference on Computer Vision Theory and Applications, Lisboa, Portugal (2023)
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2022
- A. Filoche : “Variational Data Assimilation with Deep Prior. Application to Geophysical Motion Estimation”, soutenance de thèse, soutenance 30/11/2022, direction de recherche Béréziat, Dominique, co-encadrement : Charantonis, Anastase, Brajard, Julien (2022)
- A. Filoche, Th. Archambault, A. Charantonis, D. Béréziat : “Statistics-free interpolation of ocean observations with deep spatio-temporal prior”, ECML/PKDD Workshop on Machine Learning for Earth Observation and Prediction (MACLEAN), Grenoble, France (2022)
- A. Filoche, D. Béréziat : “Simultaneous Assimilation and Downscaling of Simulated Sea Surface Heights with Deep Image Prior”, RFIAP (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception), Vannes, France (2022)
- A. Filoche, D. Béréziat, A. Charantonis : “Deep prior in variational assimilation to estimate ocean circulation without explicit regularization”, Climate Informatics, Asheville, NC, United States (2022)
- Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat : “Unlearned Downscaling of sea surface height with Deep Image Prior”, IA for Earth Sciences Workshop The International Conference on Learning Representations (ICLR), Virtual conference, United States (2022)
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2021
- A. Filoche, D. Béréziat, J. Brajard, A. Charantonis : “Variational assimilation of Geophysical images leveraging deep learning tools”, ORASIS 2021, Saint Ferréol, France (2021)
- V. Bouget, D. Béréziat, J. Brajard, A. Charantonis, A. Filoche : “Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting”, Remote Sensing, vol. 13 (2), pp. 246, (MDPI) (2021)
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2020
- A. Filoche, J. Brajard, A. Charantonis, D. Béréziat : “Completing physics-based models by learning hidden dynamics through data assimilation”, NeurIPS 2020, workshop AI4Earth, Vancouver (virtual), Canada (2020)