Frederik Kratzert

According to our database, Frederik Kratzert authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

AI Increases Global Access to Reliable Flood Forecasts.

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

CoRR, 2023

2022

NeuralHydrology - A Python library for Deep Learning research in hydrology.

Frederik Kratzert, Martin Gauch, Grey Nearing, Daniel Klotz

J. Open Source Softw., 2022

2021

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, 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

CoRR, 2021

MC-LSTM: Mass-Conserving LSTM.

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

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling.

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

CoRR, 2020

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

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

CoRR, 2020

HydroNets: Leveraging River Structure for Hydrologic Modeling.

Zach Moshe, Asher Metzger, Gal Elidan, Frederik Kratzert, Sella Nevo, Ran El-Yaniv

CoRR, 2020

2019

NeuralHydrology - Interpreting LSTMs in Hydrology.

Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer

Proceedings of the Explainable AI: Interpreting, 2019

Accurate Hydrologic Modeling Using Less Information.

Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo

CoRR, 2019

Using LSTMs for climate change assessment studies on droughts and floods.

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

CoRR, 2019

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

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

CoRR, 2019

NeuralHydrology - Interpreting LSTMs in Hydrology.

Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer

CoRR, 2019