Daniel Klotz

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Hopfield Networks

Conformal Prediction

Top Venues

J. Open Source Softw.

Publications

Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
Energy-based Hopfield Boosting for Out-of-Distribution Detection. CoRR (2024)
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)
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)
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
MC-LSTM: Mass-Conserving LSTM. ICML (2021)
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
MC-LSTM: Mass-Conserving LSTM. CoRR (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)
Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo
Accurate Hydrologic Modeling Using Less Information. CoRR (2019)
Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
NeuralHydrology - Interpreting LSTMs in Hydrology. CoRR (2019)
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 (2019)
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 (2019)