| Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge E de Bezenac, A Pajot, P Gallinari arXiv preprint arXiv:1711.07970, 2017 | 386 | 2017 |
| Learning dynamical systems from partial observations I Ayed, E de Bézenac, A Pajot, J Brajard, P Gallinari arXiv preprint arXiv:1902.11136, 2019 | 99 | 2019 |
| Unsupervised adversarial image reconstruction A Pajot, E De Bézenac, P Gallinari International conference on learning representations, 2019 | 35 | 2019 |
| Learning the spatio-temporal dynamics of physical processes from partial observations I Ayed, E De Bezenac, A Pajot, P Gallinari ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 22 | 2020 |
| Unsupervised adversarial image inpainting A Pajot, E de Bezenac, P Gallinari arXiv preprint arXiv:1912.12164, 2019 | 11 | 2019 |
| Unsupervised inpainting for occluded sea surface temperature sequences Y Yin, A Pajot, P Gallinari, E de Bézenac Clim. Inform, 2019 | 5 | 2019 |
| Learning dynamical systems from partial observations. CoRR abs/1902.11136 (2019) I Ayed, E de Bézenac, A Pajot, J Brajard, P Gallinari | 5 | 1902 |
| Learning partially observed PDE dynamics with neural networks. 2019 I Ayed, ED Bézenac, A Pajot, P Gallinari URL https://openreview. net/forum, 0 | 5 | |
| Incorporating physical knowledge into deep neural network A Pajot Sorbonne Université, 2019 | 3 | 2019 |
| Learning partially observed PDE dynamics with neural networks I Ayed, E De Bézenac, A Pajot, P Gallinari | 3 | 2018 |
| Towards a hybrid approach to physical process modeling E De Bézenac, A Pajot, P Gallinari Technical report, https://dl4physicalsciences. github. io/files …, 2017 | 3 | 2017 |
| Modelling spatiotemporal dynamics from Earth observation data with neural differential equations I Ayed, E de Bézenac, A Pajot, P Gallinari Machine Learning 111 (6), 2349-2380, 2022 | 2 | 2022 |
| Incorporating physical knowledge into deep neural network.(Incorporation de connaissance physique dans des réseaux de neurones profonds) A Pajot | | 2019 |
| Unsupervised Spatiotemporal Data Inpainting Y Yin, A Pajot, E de Bézenac, P Gallinari | | |
| Incorporating prior knowledge in Spatio-temporal Neural Network for climatic data PG Arthur Pajot, Ali Ziat, Ludovic Denoyer Proceedings of the 6th International Workshop on Climate Informatics: CI …, 0 | | |
Patrick GallinariProfessor Sorbonne University / Criteo AI LabDirección de correo verificada de sorbonne-universite.fr
