@articleUhlemeyer_Lienen_Hüllermeier_Gottschalk_2023, title=Detecting Novelties with Empty Classes, journal=arXiv:2305.00983, author=Uhlemeyer, Svenja and Lienen, Julian and Hüllermeier, Eyke and Gottschalk, Hanno, year=2023 

@inproceedingsNguyen_Levie_Lienen_Kutyniok_Hüllermeier_2023, title=Memorization-Dilation: Modeling Neural Collapse Under Noise, booktitle=International Conference on Learning Representations, ICLR, author=Nguyen, Duc Anh and Levie, Ron and Lienen, Julian and Kutyniok, Gitta and Hüllermeier, Eyke, year=2023 

@articleLienen_Hüllermeier_2023, title=Mitigating Label Noise through Data Ambiguation, journal=arXiv:2305.13764, author=Lienen, Julian and Hüllermeier, Eyke, year=2023 

@inproceedingsCampagner_Lienen_Hüllermeier_Ciucci_2022, title=Scikit-Weak: A Python Library for Weakly Supervised Machine Learning, volume=13633, booktitle=Lecture Notes in Computer Science, publisher=Springer, author=Campagner, Andrea and Lienen, Julian and Hüllermeier, Eyke and Ciucci, Davide, year=2022, pages=57–70 

@articleDemir_Lienen_Ngonga Ngomo_2022, title=Kronecker Decomposition for Knowledge Graph Embeddings, journal=arXiv:2205.06560, author=Demir, Caglar and Lienen, Julian and Ngonga Ngomo, Axel-Cyrille, year=2022 

@articleLienen_Demir_Hüllermeier_2022, title=Conformal Credal Self-Supervised Learning, journal=arXiv:2205.15239, author=Lienen, Julian and Demir, Caglar and Hüllermeier, Eyke, year=2022 

@inproceedingsLienen_Hüllermeier_2021, title=Credal Self-Supervised Learning, booktitle=Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS, author=Lienen, Julian and Hüllermeier, Eyke, year=2021 

@inproceedingsLienen_Nommensen_Ewerth_Hüllermeier_2021, title=Robust Regression for Monocular Depth Estimation, booktitle=13th Asian Conference on Machine Learning, ACML, author=Lienen, Julian and Nommensen, Nils and Ewerth, Ralph and Hüllermeier, Eyke, year=2021 

@articleLienen_Hüllermeier_2021, title=Instance weighting through data imprecisiation, journal=International Journal of Approximate Reasoning, publisher=Elsevier, author=Lienen, Julian and Hüllermeier, Eyke, year=2021 

@inproceedingsLienen_Hüllermeier_2021, title=From Label Smoothing to Label Relaxation, volume=35, number=10, booktitle=Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI, publisher=AAAI Press, author=Lienen, Julian and Hüllermeier, Eyke, year=2021, pages=8583–8591 

@inproceedingsLienen_Hüllermeier_Ewerth_Nommensen_2021, title=Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model, booktitle=Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, author=Lienen, Julian and Hüllermeier, Eyke and Ewerth, Ralph and Nommensen, Nils, year=2021, pages=14595–14604 

@articleLienen_Hüllermeier_2021, title=Credal Self-Supervised Learning, journal=arXiv:2106.11853, author=Lienen, Julian and Hüllermeier, Eyke, year=2021 

@articleLienen_Hüllermeier_2020, title=Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce  model, journal=arXiv:2010.13118, author=Lienen, Julian and Hüllermeier, Eyke, year=2020 

@bookLienen_2019, title=Automated Feature Engineering on Time Series Data, author=Lienen, Julian, year=2019