| Latent space data assimilation by using deep learning M Peyron, A Fillion, S Gürol, V Marchais, S Gratton, P Boudier, G Goret Quarterly Journal of the Royal Meteorological Society 147 (740), 3759-3777, 2021 | 43 | 2021 |
| Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother A Fillion, M Bocquet, S Gratton Nonlinear Processes in Geophysics 25 (2), 315-334, 2018 | 12 | 2018 |
| Data assimilation networks P Boudier, A Fillion, S Gratton, S Gürol, S Zhang Journal of Advances in Modeling Earth Systems 15 (4), e2022MS003353, 2023 | 11 | 2023 |
| An iterative ensemble Kalman smoother in presence of additive model error A Fillion, M Bocquet, S Gratton, S Gürol, P Sakov SIAM/ASA Journal on Uncertainty Quantification 8 (1), 198-228, 2020 | 11 | 2020 |
| DAN–An optimal Data Assimilation framework based on machine learning Recurrent Networks P Boudier, A Fillion, S Gratton, S Gürol arXiv preprint arXiv:2010.09694, 2020 | 7 | 2020 |
| A Unified View on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE) T Kulak, A Fillion, F Blayo International Conference on Artificial Neural Networks, 458-468, 2022 | 1 | 2022 |
| Quasi static ensemble variational data assimilation A Fillion, M Bocquet, S Gratton Nonlinear Processes in Geophysics, 2017 | 1 | 2017 |
| A Bayesian Variational principle for dynamic Self Organizing Maps A Fillion, T Kulak, F Blayo arXiv preprint arXiv:2208.11337, 2022 | | 2022 |
| Interactive comment on “Quasi static ensemble variational data assimilation” by Anthony Fillion et al. A Fillion | | 2018 |
| Interactive comment on “Quasi static ensemble variational data assimilation” by Anthony Fillion et al. C Pires | | 2017 |
