Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. - Yotam Gigi; Gal Elidan; Avinatan Hassidim; Yossi Matias; Zach Moshe; Sella Nevo; Guy Shalev; Ami Wiesel (CoRR, 2019)

ML for Flood Forecasting at Scale. - 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; et al. (CoRR, 2019)

HydroNets: Leveraging River Structure for Hydrologic Modeling. - Zach Moshe; Asher Metzger; Gal Elidan; Frederik Kratzert; Sella Nevo; Ran El-Yaniv (CoRR, 2020)

Flood forecasting with machine learning models in an operational framework. - 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; et al. (CoRR, 2021)

Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. - Akhiad Bercovich; Tomer Ronen; Talor Abramovich; Nir Ailon; Nave Assaf; Mohammad Dabbah; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Netanel Haber; Ehud Karpas; et al. (CoRR, 2024)

FFN Fusion: Rethinking Sequential Computation in Large Language Models. - Akhiad Bercovich; Mohammad Dabbah; Omri Puny; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Ehud Karpas; Itay Levy; Zach Moshe; Najeeb Nabwani; Tomer Ronen; et al. (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)