Daniel Klotz

Orcid: 0000-0002-9843-6798

According to our database1, Daniel Klotz authored at least 13 papers between 2019 and 2024.

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Bibliography

2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Simplified priors for Object-Centric Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2024

2023
Conformal Prediction for Time Series with Modern Hopfield Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
NeuralHydrology - A Python library for Deep Learning research in hydrology.
J. Open Source Softw., 2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
MC-LSTM: Mass-Conserving LSTM.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling.
CoRR, 2020

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network.
CoRR, 2020

2019
NeuralHydrology - Interpreting LSTMs in Hydrology.
Proceedings of the Explainable AI: Interpreting, 2019

Accurate Hydrologic Modeling Using Less Information.
CoRR, 2019

Using LSTMs for climate change assessment studies on droughts and floods.
CoRR, 2019

Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling.
CoRR, 2019

NeuralHydrology - Interpreting LSTMs in Hydrology.
CoRR, 2019


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