Daniel Klotz - RankMe

21 papers A* 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AP-OOD: Attention Pooling for Out-of-Distribution Detection. CoRR Claus Hofmann, Christian Huber, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter, Werner Zellinger
2025	J	`jnl`	Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification. CoRR Andreas Auer, Daniel Klotz, Sebastinan Böck, Sepp Hochreiter
2025	J	`jnl`	TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning. CoRR Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
2024	A*	`conf`	Energy-based Hopfield Boosting for Out-of-Distribution Detection. NeurIPS Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
2024	J	`jnl`	Energy-based Hopfield Boosting for Out-of-Distribution Detection. CoRR Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
2024	—	`conf`	Simplified priors for Object-Centric Learning. CoLLAs Vihang Prakash Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter
2024	J	`jnl`	Simplified priors for Object-Centric Learning. CoRR Vihang Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter
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	A*	`conf`	MC-LSTM: Mass-Conserving LSTM. ICML Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	MC-LSTM: Mass-Conserving LSTM. CoRR Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
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`	Accurate Hydrologic Modeling Using Less Information. CoRR Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo
2019	J	`jnl`	Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. CoRR Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing
2019	J	`jnl`	NeuralHydrology - Interpreting LSTMs in Hydrology. CoRR Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
2019	—	`ch.`	NeuralHydrology - Interpreting LSTMs in Hydrology. Explainable AI Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
2019	J	`jnl`	Using LSTMs for climate change assessment studies on droughts and floods. CoRR Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter