Julian Lienen

julian.lienen@uni-paderborn.de
ID
44040

14 Publications

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[14]
2023 | Preprint | LibreCat-ID: 44512 | OA
Uhlemeyer, S., Lienen, J., Hüllermeier, E., & Gottschalk, H. (2023). Detecting Novelties with Empty Classes. In arXiv:2305.00983.
LibreCat | Download (ext.) | arXiv
 
[13]
2023 | Conference Paper | LibreCat-ID: 31880 | OA
Nguyen, D. A., Levie, R., Lienen, J., Kutyniok, G., & Hüllermeier, E. (2023). Memorization-Dilation: Modeling Neural Collapse Under Noise. International Conference on Learning Representations, ICLR. International Conference on Learning Representations, ICLR, Kigali, Ruanda.
LibreCat | Download (ext.)
 
[12]
2023 | Preprint | LibreCat-ID: 45911 | OA
Lienen, J., & Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
LibreCat | Download (ext.) | arXiv
 
[11]
2022 | Conference Paper | LibreCat-ID: 34542
Campagner, A., Lienen, J., Hüllermeier, E., & Ciucci, D. (2022). Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. Lecture Notes in Computer Science, 13633, 57–70.
LibreCat
 
[10]
2022 | Preprint | LibreCat-ID: 31545 | OA
Demir, C., Lienen, J., & Ngonga Ngomo, A.-C. (2022). Kronecker Decomposition for Knowledge Graph Embeddings. In arXiv:2205.06560.
LibreCat | Download (ext.)
 
[9]
2022 | Preprint | LibreCat-ID: 31546 | OA
Lienen, J., Demir, C., & Hüllermeier, E. (2022). Conformal Credal Self-Supervised Learning. In arXiv:2205.15239.
LibreCat | Download (ext.)
 
[8]
2021 | Conference Paper | LibreCat-ID: 27161
Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning. Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS. Annual Conference on Neural Information Processing Systems, NeurIPS, Online.
LibreCat
 
[7]
2021 | Conference Paper | LibreCat-ID: 27162
Lienen, J., Nommensen, N., Ewerth, R., & Hüllermeier, E. (2021). Robust Regression for Monocular Depth Estimation. 13th Asian Conference on Machine Learning, ACML. 13th Asian Conference on Machine Learning, ACML, Online.
LibreCat
 
[6]
2021 | Journal Article | LibreCat-ID: 21636
Lienen, J., & Hüllermeier, E. (2021). Instance weighting through data imprecisiation. International Journal of Approximate Reasoning.
LibreCat | Download (ext.)
 
[5]
2021 | Conference Paper | LibreCat-ID: 21637 | OA
Lienen, J., & Hüllermeier, E. (2021). From Label Smoothing to Label Relaxation. In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI (Vol. 35, pp. 8583–8591). Online: AAAI Press.
LibreCat | Download (ext.)
 
[4]
2021 | Conference Paper | LibreCat-ID: 22280
Lienen, J., Hüllermeier, E., Ewerth, R., & Nommensen, N. (2021). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 14595–14604.
LibreCat
 
[3]
2021 | Preprint | LibreCat-ID: 22509 | OA
Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning. ArXiv:2106.11853.
LibreCat | Download (ext.)
 
[2]
2020 | Preprint | LibreCat-ID: 20211 | OA
Lienen, J., & Hüllermeier, E. (2020). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce  model. ArXiv:2010.13118.
LibreCat | Download (ext.)
 
[1]
2019 | Mastersthesis | LibreCat-ID: 16415
Lienen, J. (2019). Automated Feature Engineering on Time Series Data.
LibreCat
 
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14 Publications

Mark all

[14]
2023 | Preprint | LibreCat-ID: 44512 | OA
Uhlemeyer, S., Lienen, J., Hüllermeier, E., & Gottschalk, H. (2023). Detecting Novelties with Empty Classes. In arXiv:2305.00983.
LibreCat | Download (ext.) | arXiv
 
[13]
2023 | Conference Paper | LibreCat-ID: 31880 | OA
Nguyen, D. A., Levie, R., Lienen, J., Kutyniok, G., & Hüllermeier, E. (2023). Memorization-Dilation: Modeling Neural Collapse Under Noise. International Conference on Learning Representations, ICLR. International Conference on Learning Representations, ICLR, Kigali, Ruanda.
LibreCat | Download (ext.)
 
[12]
2023 | Preprint | LibreCat-ID: 45911 | OA
Lienen, J., & Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
LibreCat | Download (ext.) | arXiv
 
[11]
2022 | Conference Paper | LibreCat-ID: 34542
Campagner, A., Lienen, J., Hüllermeier, E., & Ciucci, D. (2022). Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. Lecture Notes in Computer Science, 13633, 57–70.
LibreCat
 
[10]
2022 | Preprint | LibreCat-ID: 31545 | OA
Demir, C., Lienen, J., & Ngonga Ngomo, A.-C. (2022). Kronecker Decomposition for Knowledge Graph Embeddings. In arXiv:2205.06560.
LibreCat | Download (ext.)
 
[9]
2022 | Preprint | LibreCat-ID: 31546 | OA
Lienen, J., Demir, C., & Hüllermeier, E. (2022). Conformal Credal Self-Supervised Learning. In arXiv:2205.15239.
LibreCat | Download (ext.)
 
[8]
2021 | Conference Paper | LibreCat-ID: 27161
Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning. Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS. Annual Conference on Neural Information Processing Systems, NeurIPS, Online.
LibreCat
 
[7]
2021 | Conference Paper | LibreCat-ID: 27162
Lienen, J., Nommensen, N., Ewerth, R., & Hüllermeier, E. (2021). Robust Regression for Monocular Depth Estimation. 13th Asian Conference on Machine Learning, ACML. 13th Asian Conference on Machine Learning, ACML, Online.
LibreCat
 
[6]
2021 | Journal Article | LibreCat-ID: 21636
Lienen, J., & Hüllermeier, E. (2021). Instance weighting through data imprecisiation. International Journal of Approximate Reasoning.
LibreCat | Download (ext.)
 
[5]
2021 | Conference Paper | LibreCat-ID: 21637 | OA
Lienen, J., & Hüllermeier, E. (2021). From Label Smoothing to Label Relaxation. In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI (Vol. 35, pp. 8583–8591). Online: AAAI Press.
LibreCat | Download (ext.)
 
[4]
2021 | Conference Paper | LibreCat-ID: 22280
Lienen, J., Hüllermeier, E., Ewerth, R., & Nommensen, N. (2021). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 14595–14604.
LibreCat
 
[3]
2021 | Preprint | LibreCat-ID: 22509 | OA
Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning. ArXiv:2106.11853.
LibreCat | Download (ext.)
 
[2]
2020 | Preprint | LibreCat-ID: 20211 | OA
Lienen, J., & Hüllermeier, E. (2020). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce  model. ArXiv:2010.13118.
LibreCat | Download (ext.)
 
[1]
2019 | Mastersthesis | LibreCat-ID: 16415
Lienen, J. (2019). Automated Feature Engineering on Time Series Data.
LibreCat
 
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Citation Style: APA

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