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ORCIDDaniel Klotz
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2020 – today
- 2024
[i11]Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter:
Energy-based Hopfield Boosting for Out-of-Distribution Detection. CoRR abs/2405.08766 (2024)- [i10]Vihang Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter:
Simplified priors for Object-Centric Learning. CoRR abs/2410.00728 (2024) - 2023
- [c3]Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter:
Conformal Prediction for Time Series with Modern Hopfield Networks. NeurIPS 2023 - [i9]Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter:
Conformal Prediction for Time Series with Modern Hopfield Networks. CoRR abs/2303.12783 (2023) - 2022
- [j1]Frederik Kratzert
, Martin Gauch, Grey Nearing, Daniel Klotz:
NeuralHydrology - A Python library for Deep Learning research in hydrology. J. Open Source Softw. 7(71): 4050 (2022) - [c2]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: 1043-1064 - [i8]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 abs/2206.03483 (2022) - 2021
- [c1]Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer:
MC-LSTM: Mass-Conserving LSTM. ICML 2021: 4275-4286 - [i7]Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer:
MC-LSTM: Mass-Conserving LSTM. CoRR abs/2101.05186 (2021) - 2020
- [i6]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 abs/2010.07921 (2020) - [i5]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 abs/2012.14295 (2020)
2010 – 2019
- 2019
- [p1]Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer:
NeuralHydrology - Interpreting LSTMs in Hydrology. Explainable AI 2019: 347-362 - [i4]Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer:
NeuralHydrology - Interpreting LSTMs in Hydrology. CoRR abs/1903.07903 (2019) - [i3]Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing:
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. CoRR abs/1907.08456 (2019) - [i2]Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter:
Using LSTMs for climate change assessment studies on droughts and floods. CoRR abs/1911.03941 (2019) - [i1]Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo:
Accurate Hydrologic Modeling Using Less Information. CoRR abs/1911.09427 (2019)
Coauthor Index
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