Uhlemeyer, Svenja, Julian Lienen, Eyke Hüllermeier, and Hanno Gottschalk. “Detecting Novelties with Empty Classes.” ArXiv:2305.00983, 2023.

Nguyen, Duc Anh, Ron Levie, Julian Lienen, Gitta Kutyniok, and Eyke Hüllermeier. “Memorization-Dilation: Modeling Neural Collapse Under Noise.” In International Conference on Learning Representations, ICLR, 2023.

Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data Ambiguation.” ArXiv:2305.13764, 2023.

Campagner, Andrea, Julian Lienen, Eyke Hüllermeier, and Davide Ciucci. “Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.” In Lecture Notes in Computer Science, 13633:57–70. Springer, 2022.

Demir, Caglar, Julian Lienen, and Axel-Cyrille Ngonga Ngomo. “Kronecker Decomposition for Knowledge Graph Embeddings.” ArXiv:2205.06560, 2022.

Lienen, Julian, Caglar Demir, and Eyke Hüllermeier. “Conformal Credal Self-Supervised Learning.” ArXiv:2205.15239, 2022.

Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.” In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS, 2021.

Lienen, Julian, Nils Nommensen, Ralph Ewerth, and Eyke Hüllermeier. “Robust Regression for Monocular Depth Estimation.” In 13th Asian Conference on Machine Learning, ACML, 2021.

Lienen, Julian, and Eyke Hüllermeier. “Instance Weighting through Data Imprecisiation.” International Journal of Approximate Reasoning, 2021.

Lienen, Julian, and Eyke Hüllermeier. “From Label Smoothing to Label Relaxation.” In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI, 35:8583–91. AAAI Press, 2021.

Lienen, Julian, Eyke Hüllermeier, Ralph Ewerth, and Nils Nommensen. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 14595–604, 2021.

Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.” ArXiv:2106.11853, 2021.

Lienen, Julian, and Eyke Hüllermeier. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce  Model.” ArXiv:2010.13118, 2020.

Lienen, Julian. Automated Feature Engineering on Time Series Data, 2019.