Martin Gauch

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 13

Top Topics

Hopfield Networks

Conformal Prediction

Top Venues

Environ. Model. Softw.

Publications

Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
Conformal Prediction for Time Series with Modern Hopfield Networks. CoRR (2023)
Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
Conformal Prediction for Time Series with Modern Hopfield Networks. NeurIPS (2023)
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
AI Increases Global Access to Reliable Flood Forecasts. CoRR (2023)
Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs (2022)
Frederik Kratzert, Martin Gauch, Grey Nearing, Daniel Klotz
NeuralHydrology - A Python library for Deep Learning research in hydrology. J. Open Source Softw. 7 (71) (2022)
Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR (2022)
Martin Gauch, Juliane Mai, Jimmy Lin
The proper care and feeding of CAMELS: How limited training data affects streamflow prediction. Environ. Model. Softw. 135 (2021)
Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network. CoRR (2020)
Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. CoRR (2020)
Martin Gauch, Jimmy Lin
A Data Scientist's Guide to Streamflow Prediction. CoRR (2020)
Martin Gauch, James Bai, Juliane Mai, Jimmy Lin
An Open-Source Interface to the Canadian Surface Prediction Archive. JCDL (2020)
Martin Gauch, Juliane Mai, Jimmy Lin
The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction. CoRR (2019)
Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz
Towards Simulation-Data Science - A Case Study on Material Failures. DSAA (2018)