Julian Lienen

According to our database, Julian Lienen authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mitigating Label Noise through Data Ambiguation.

Julian Lienen, Eyke Hüllermeier

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robustifying machine learning through weakening supervision.

Julian Lienen

PhD thesis, 2023

Detecting Novelties with Empty Classes.

Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk

CoRR, 2023

Memorization-Dilation: Modeling Neural Collapse Under Noise.

Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Conformal Credal Self-Supervised Learning.

Julian Lienen, Caglar Demir, Eyke Hüllermeier

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.

Andrea Campagner, Julian Lienen, Eyke Hüllermeier, Davide Ciucci

Proceedings of the Rough Sets - International Joint Conference, 2022

Kronecker Decomposition for Knowledge Graph Embeddings.

Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo

Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

2021

Instance weighting through data imprecisiation.

Julian Lienen, Eyke Hüllermeier

Int. J. Approx. Reason., 2021

Credal Self-Supervised Learning.

Julian Lienen, Eyke Hüllermeier

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.

Julian Lienen, Eyke Hüllermeier, Ralph Ewerth, Nils Nommensen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Regression for Monocular Depth Estimation.

Julian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier

Proceedings of the Asian Conference on Machine Learning, 2021

From Label Smoothing to Label Relaxation.

Julian Lienen, Eyke Hüllermeier

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model.

Julian Lienen, Eyke Hüllermeier

CoRR, 2020