| Flood forecasting with machine learning models in an operational framework S Nevo, E Morin, A Gerzi Rosenthal, A Metzger, C Barshai, D Weitzner, ... Hydrology and Earth System Sciences 26 (15), 4013-4032, 2022 | 128 | 2022 |
| Global prediction of extreme floods in ungauged watersheds G Nearing, D Cohen, V Dube, M Gauch, O Gilon, S Harrigan, A Hassidim, ... Nature 627 (8004), 559-563, 2024 | 73 | 2024 |
| Flood forecasting with machine learning models in an operational framework S Nevo, E Morin, AG Rosenthal, A Metzger, C Barshai, D Weitzner, ... arXiv preprint arXiv:2111.02780, 2021 | 17 | 2021 |
| Neural (tangent kernel) collapse M Seleznova, D Weitzner, R Giryes, G Kutyniok, HH Chou Advances in Neural Information Processing Systems 36, 2024 | 12 | 2024 |
| AI increases global access to reliable flood forecasts G Nearing, D Cohen, V Dube, M Gauch, O Gilon, S Harrigan, A Hassidim, ... arXiv preprint arXiv:2307.16104, 2023 | 11 | 2023 |
| Face authentication from grayscale coded light field D Weitzner, D Mendlovic, R Giryes 2020 IEEE International Conference on Image Processing (ICIP), 2611-2615, 2020 | 4 | 2020 |
| Towards flood warnings everywhere-data-driven rainfall-runoff modeling at global scale F Kratzert, M Gauch, D Klotz, A Metzger, G Nearing, G Shalev, S Shenzis, ... AGU Fall Meeting Conference Abstracts, Pp. GC12A 4, 2022 | 3 | 2022 |
| Separable joint blind deconvolution and demixing D Weitzner, R Giryes IEEE Journal of Selected Topics in Signal Processing 15 (3), 657-671, 2021 | 2 | 2021 |
| From Hindcast to Forecast with Deep Learning Streamflow Models G Nearing, M Gauch, D Klotz, F Kratzert, A Metzger, G Shalev, S Shenzis, ... EGU General Assembly Conference Abstracts, EGU-16974, 2023 | 1 | 2023 |
| On the Relationship Between Universal Adversarial Attacks and Sparse Representations D Weitzner, R Giryes IEEE Open Journal of Signal Processing 4, 99-107, 2023 | 1 | 2023 |
| Separable optimization for joint blind deconvolution and demixing D Weitzner, R Giryes ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 1 | 2020 |
| On the Relation Between Linear Diffusion and Power Iteration D Weitzner, M Delbracio, P Milanfar, R Giryes arXiv preprint arXiv:2410.14730, 2024 | | 2024 |
| Deep Learning for Spatially Distributed Rainfall–Runoff Modeling M Gauch, F Kratzert, V Dube, O Gilon, D Klotz, A Metzger, G Nearing, ... EGU24, 2024 | | 2024 |
| Global Flood Forecasting at a Fine Catchment Resolution using Machine Learning A Metzger, O Gilon, F Kratzert, GS Nearing, S Nevo, G Shalev, S Shenzis, ... AGU Fall Meeting Abstracts 2022, H52C-01, 2022 | | 2022 |
| Method and apparatus for authentication of a three-dimensional object D Mendlovic, R Giryes, D Weitzner US Patent App. 17/636,904, 2022 | | 2022 |
| Google’s flood forecasting framework: connecting data, models, risks and people S Nevo, AG Rosenthal, A Metzger, D Weitzner, E Morin, G Elidan, ... AGU Fall Meeting 2020, 2020 | | 2020 |
| Google's flood forecasting framework: connecting data, models, risks and people E Morin, S Nevo, A Gerzi Rosenthal, A Metzger, D Weitzner, G Elidan, ... AGU Fall Meeting Abstracts 2020, H216-04, 2020 | | 2020 |
