Julian Lienen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Depth Estimation

Labeling Process

Mathematical Modeling

Top Venues

Int. J. Approx. Reason.

Publications

Julian Lienen, Eyke Hüllermeier
Mitigating Label Noise through Data Ambiguation. AAAI (2024)
Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk
Detecting Novelties with Empty Classes. CoRR (2023)
Julian Lienen, Eyke Hüllermeier
Mitigating Label Noise through Data Ambiguation. CoRR (2023)
Julian Lienen, Caglar Demir, Eyke Hüllermeier
Conformal Credal Self-Supervised Learning. COPA (2023)
Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok
Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR (2023)
Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier
Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR (2022)
Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
Kronecker Decomposition for Knowledge Graph Embeddings. CoRR (2022)
Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
Kronecker Decomposition for Knowledge Graph Embeddings. HT (2022)
Andrea Campagner, Julian Lienen, Eyke Hüllermeier, Davide Ciucci
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. IJCRS (2022)
Julian Lienen, Caglar Demir, Eyke Hüllermeier
Conformal Credal Self-Supervised Learning. CoRR (2022)
Julian Lienen, Eyke Hüllermeier
From Label Smoothing to Label Relaxation. AAAI (2021)
Julian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier
Robust Regression for Monocular Depth Estimation. ACML (2021)
Julian Lienen, Eyke Hüllermeier, Ralph Ewerth, Nils Nommensen
Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model. CVPR (2021)
Julian Lienen, Eyke Hüllermeier
Instance weighting through data imprecisiation. Int. J. Approx. Reason. 134 (2021)
Julian Lienen, Eyke Hüllermeier
Credal Self-Supervised Learning. CoRR (2021)
Julian Lienen, Eyke Hüllermeier
Credal Self-Supervised Learning. NeurIPS (2021)
Julian Lienen, Eyke Hüllermeier
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. CoRR (2020)