Martin Gauch - RankMe

13 papers A* 1B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
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
2023	A*	`conf`	Conformal Prediction for Time Series with Modern Hopfield Networks. NeurIPS Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
2023	J	`jnl`	Conformal Prediction for Time Series with Modern Hopfield Networks. CoRR Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
2022	—	`conf`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs 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
2022	J	`jnl`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR 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
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`	The proper care and feeding of CAMELS: How limited training data affects streamflow prediction. Environ. Model. Softw. Martin Gauch, Juliane Mai, Jimmy Lin
2020	J	`jnl`	A Data Scientist's Guide to Streamflow Prediction. CoRR Martin Gauch, Jimmy Lin
2020	—	`conf`	An Open-Source Interface to the Canadian Surface Prediction Archive. JCDL Martin Gauch, James Bai, Juliane Mai, Jimmy Lin
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`	The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction. CoRR Martin Gauch, Juliane Mai, Jimmy Lin
2018	B	`conf`	Towards Simulation-Data Science - A Case Study on Material Failures. DSAA Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz