@article {672,
	title = {Deep probabilistic modelling for energy forecasting},
	year = {2023},
	author = {Daniel Dold and Marcel Arpogaus and Oliver D{\"u}rr}
}
@conference {668,
	title = {DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency},
	booktitle = {2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning},
	year = {2022},
	author = {Matthias Hermann and Daniel Dold and Georg Umlauf and Oliver D{\"u}rr}
}
@conference {640,
	title = {Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows},
	booktitle = {ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual},
	year = {2021},
	author = {Marcel Arpogaus and Marcus Vo{\ss} and Beate Sick and Mark Nigge-Uricher and Oliver D{\"u}rr}
}
@article {641,
	title = {Transformation models for flexible posteriors in variational bayes},
	journal = {arXiv preprint},
	year = {2021},
	pages = {2106.00528},
	author = {Sefan H{\"o}rtling and Daniel Dold and Oliver D{\"u}rr and Beate Sick}
}
@article {639,
	title = {Deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv preprint},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@article {638,
	title = {Ordinal neural network transformation models: deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv e-prints},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@book {621,
	title = {Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability},
	year = {2020},
	publisher = {Manning Publications},
	organization = {Manning Publications},
	isbn = {9781617296079},
	url = {https://www.manning.com/books/probabilistic-deep-learning},
	author = {Oliver D{\"u}rr and Beate Sick and Elvis Murina}
}
@conference {622,
	title = {Single Shot MC Dropout Approximation},
	booktitle = {ICML Workshop on Uncertainty and Robustness in Deep Learning},
	year = {2020},
	author = {Brach, Kai and Beate Sick and Oliver D{\"u}rr}
}
@book {637,
	title = {Learning to Cluster},
	year = {2018},
	author = {Benjamin Bruno Meier and Thilo Stadelmann and Oliver D{\"u}rr}
}
