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Journal Articles
- 2022
[j1]R. Lily Hu
, Damien Pierce, Yusef Shafi, Anudhyan Boral, Vladimir Anisimov, Sella Nevo, Yi-Fan Chen:
Accelerating physics simulations with tensor processing units: An inundation modeling example. Int. J. High Perform. Comput. Appl. 36(4): 510-523 (2022)
Conference and Workshop Papers
- 2021
- [c2]Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. NeurIPS 2021: 1378-1389 - 2020
- [c1]Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel:
Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM 2020: 1-5
Informal and Other Publications
- 2023
- [i13]Grey Nearing, Deborah Cohen, Vusumuzi Dube, Martin Gauch, Oren Gilon, Shaun Harrigan, Avinatan Hassidim, Frederik Kratzert, Asher Metzger, Sella Nevo, Florian Pappenberger, Christel Prudhomme, Guy Shalev, Shlomo Shenzis, Tadele Tekalign, Dana Weitzner, Yossi Matias:
AI Increases Global Access to Reliable Flood Forecasts. CoRR abs/2307.16104 (2023) - [i12]Wojciech Sirko, Emmanuel Asiedu Brempong, Juliana T. C. Marcos, Abigail Annkah, Abel Korme, Mohammed Alewi Hassen, Krishna Sapkota, Tomer Shekel, Abdoulaye Diack, Sella Nevo, Jason Hickey, John Quinn:
High-Resolution Building and Road Detection from Sentinel-2. CoRR abs/2310.11622 (2023) - 2022
- [i11]Damien Pierce, R. Lily Hu, Yusef Shafi, Anudhyan Boral, Vladimir Anisimov, Sella Nevo, Yi-Fan Chen:
Accelerating Physics Simulations with TPUs: An Inundation Modeling Example. CoRR abs/2204.10323 (2022) - 2021
- [i10]Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. CoRR abs/2106.07218 (2021) - [i9]Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias:
Flood forecasting with machine learning models in an operational framework. CoRR abs/2111.02780 (2021) - [i8]Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel, Sella Nevo, Arnu Pretorius:
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa. CoRR abs/2111.03904 (2021) - 2020
- [i7]Zach Moshe, Asher Metzger, Gal Elidan, Frederik Kratzert, Sella Nevo, Ran El-Yaniv:
HydroNets: Leveraging River Structure for Hydrologic Modeling. CoRR abs/2007.00595 (2020) - [i6]Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias:
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach. CoRR abs/2012.00671 (2020) - 2019
- [i5]Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel:
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. CoRR abs/1901.00786 (2019) - [i4]Sella Nevo, Vova Anisimov, Gal Elidan, Ran El-Yaniv, Pete Giencke, Yotam Gigi, Avinatan Hassidim, Zach Moshe, Mor Schlesinger, Guy Shalev, Ajai Tirumali, Ami Wiesel, Oleg Zlydenko, Yossi Matias:
ML for Flood Forecasting at Scale. CoRR abs/1901.09583 (2019) - [i3]Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, Sella Nevo:
Inundation Modeling in Data Scarce Regions. CoRR abs/1910.05006 (2019) - [i2]Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias:
Spectral Algorithm for Low-rank Multitask Regression. CoRR abs/1910.12204 (2019) - [i1]Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo:
Accurate Hydrologic Modeling Using Less Information. CoRR abs/1911.09427 (2019)
Coauthor Index
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