Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Grey Nearing

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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: https://www.hadr.ai/home 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions