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MC-LSTM: Mass-Conserving LSTM

Feb 08, 2021
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer

* 12 pages (8 without references) + 16 pages appendix 

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Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

Dec 15, 2020
Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing

* 32 pages, 11 figures 

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ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach

Dec 06, 2020
Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias

* Submitted/accepted to NeurIPS HADR workshop: 

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Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

Oct 15, 2020
Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter

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Combining Parametric Land Surface Models with Machine Learning

Feb 14, 2020
Craig Pelissier, Jonathan Frame, Grey Nearing

* 4 pages, 3 figures, 1 table, submitted to IGARSS 2020 

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Using LSTMs for climate change assessment studies on droughts and floods

Nov 28, 2019
Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter

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Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling

Jul 19, 2019
Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing

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