| Augmenting physical models with deep networks for complex dynamics forecasting Y Yin, V Le Guen, J Dona, E de Bézenac, I Ayed, N Thome, P Gallinari Journal of Statistical Mechanics: Theory and Experiment 2021 (12), 124012, 2021 | 164 | 2021 |
| Local feature approach to dorsal hand vein recognition by centroid-based circular key-point grid and fine-grained matching D Huang, R Zhang, Y Yin, Y Wang, Y Wang Image and Vision Computing 58, 266-277, 2017 | 46 | 2017 |
| Continuous pde dynamics forecasting with implicit neural representations Y Yin, M Kirchmeyer, JY Franceschi, A Rakotomamonjy, P Gallinari arXiv preprint arXiv:2209.14855, 2022 | 45 | 2022 |
| Generalizing to new physical systems via context-informed dynamics model M Kirchmeyer, Y Yin, J Donà, N Baskiotis, A Rakotomamonjy, P Gallinari International Conference on Machine Learning, 11283-11301, 2022 | 31 | 2022 |
| LEADS: Learning dynamical systems that generalize across environments Y Yin, I Ayed, E de Bézenac, N Baskiotis, P Gallinari Advances in Neural Information Processing Systems 34, 7561-7573, 2021 | 28 | 2021 |
| Operator learning with neural fields: Tackling pdes on general geometries L Serrano, L Le Boudec, A Kassaï Koupaï, TX Wang, Y Yin, JN Vittaut, ... Advances in Neural Information Processing Systems 36, 70581-70611, 2023 | 17 | 2023 |
| Exemplars and counterexemplars explanations for image classifiers, targeting skin lesion labeling C Metta, R Guidotti, Y Yin, P Gallinari, S Rinzivillo 2021 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2021 | 13 | 2021 |
| Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning C Metta, A Beretta, R Guidotti, Y Yin, P Gallinari, S Rinzivillo, F Giannotti International Journal of Data Science and Analytics, 1-13, 2023 | 8 | 2023 |
| Explainable deep image classifiers for skin lesion diagnosis C Metta, A Beretta, R Guidotti, Y Yin, P Gallinari, S Rinzivillo, F Giannotti arXiv preprint arXiv:2111.11863, 2021 | 8 | 2021 |
| Multi-scale physical representations for approximating pde solutions with graph neural operators L Migus, Y Yin, JA Mazari, P Gallinari Topological, Algebraic and Geometric Learning Workshops 2022, 332-340, 2022 | 7 | 2022 |
| Exemplars and counterexemplars explanations for skin lesion classifiers C Metta, R Guidotti, Y Yin, P Gallinari, S Rinzivillo HHAI2022: Augmenting Human Intellect, 258-260, 2022 | 5 | 2022 |
| Unsupervised inpainting for occluded sea surface temperature sequences Y Yin, A Pajot, P Gallinari, E de Bézenac Clim. Inform, 2019 | 5 | 2019 |
| Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification C Metta, A Beretta, R Guidotti, Y Yin, P Gallinari, S Rinzivillo, F Giannotti Diagnostics 14 (7), 753, 2024 | 3 | 2024 |
| Infinity: Neural field modeling for reynolds-averaged navier-stokes equations L Serrano, L Migus, Y Yin, JA Mazari, P Gallinari arXiv preprint arXiv:2307.13538, 2023 | 3 | 2023 |
| Time series continuous modeling for imputation and forecasting with implicit neural representations EL Naour, L Serrano, L Migus, Y Yin, G Agoua, N Baskiotis, P Gallinari, ... arXiv preprint arXiv:2306.05880, 2023 | 3 | 2023 |
| LEARN TO ADAPT PARAMETRIC SOLVERS UNDER INCOMPLETE PHYSICS AK Koupaï, Y Yin ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| Learning iterative algorithms to solve PDEs. L Le Boudec, E De Bézenac, L Serrano, Y Yin ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| Physics-Aware Deep Learning and Dynamical Systems: Hybrid Modeling and Generalization Y Yin Sorbonne Université, 2023 | | 2023 |
| TIMEFLOW: AN IMPLICIT NEURAL REPRESENTATION APPROACH FOR CONTINUOUS TIME SERIES MODEL E Le Naour, L Serrano, L Migus, Y Yin, G Agoua, N Baskiotis, P Gallinari, ... | | |
| Unsupervised Spatiotemporal Data Inpainting Y Yin, A Pajot, E de Bézenac, P Gallinari | | |
Patrick GallinariProfessor Sorbonne University / Criteo AI LabVerified email at sorbonne-universite.fr
