Grey Nearing - RankMe

16 papers A* 1C 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States. CoRR Arun M. Saranathan, Mahmoud Saeedimoghaddam, Brandon Smith, Deepthi Raghunandan, Grey Nearing, Craig Pelissier
2025	J	`jnl`	Fine Flood Forecasts: Incorporating local data into global models through fine-tuning. CoRR Emil Ryd, Grey Nearing
2023	J	`jnl`	AI Increases Global Access to Reliable Flood Forecasts. CoRR 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
2022	J	`jnl`	A Machine Learning Data Fusion Model for Soil Moisture Retrieval. CoRR Vishal Batchu, Grey Nearing, Varun Gulshan
2022	J	`jnl`	NeuralHydrology - A Python library for Deep Learning research in hydrology. J. Open Source Softw. Frederik Kratzert, Martin Gauch, Grey Nearing, Daniel Klotz
2021	J	`jnl`	Flood forecasting with machine learning models in an operational framework. CoRR 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
2021	A*	`conf`	MC-LSTM: Mass-Conserving LSTM. ICML Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	MC-LSTM: Mass-Conserving LSTM. CoRR Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	Ten simple rules to cultivate transdisciplinary collaboration in data science. PLoS Comput. Biol. Faryad Sahneh, Meghan A. Balk, Marina Kisley, Chi-Kwan Chan, Mercury Fox, Brian Nord, Eric Lyons, Tyson Lee Swetnam, Daniela Huppenkothen, Will Sutherland, Ramona L. Walls, Daven P. Quinn, Tonantzin Tarin, David S. LeBauer, David Ribes, Dunbar P. Birnie III, Carol Lushbough, Eric Carr, Grey Nearing, Jeremy Fischer, Kevin Tyle, Luis Carrasco, Meagan Lang, Peter W. Rose, Richard R. Rushforth, Samapriya Roy, Thomas Matheson, Tina Lee, C. Titus Brown, Tracy K. Teal, Monica Papes, Stephen G. Kobourov, Nirav C. Merchant
2020	C	`conf`	Combining Parametric Land Surface Models with Machine Learning. IGARSS Craig Pelissier, Jonathan Frame, Grey Nearing
2020	J	`jnl`	Combining Parametric Land Surface Models with Machine Learning. CoRR Craig Pelissier, Jonathan Frame, Grey Nearing
2020	J	`jnl`	ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach. CoRR Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias
2020	J	`jnl`	Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network. CoRR Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter
2020	J	`jnl`	Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. CoRR Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing
2019	J	`jnl`	Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. CoRR Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing
2019	J	`jnl`	Using LSTMs for climate change assessment studies on droughts and floods. CoRR Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter