Research output per year
Research output per year
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Dive into the research topics where Jes Frellsen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Benchmarking Generative Latent Variable Models for Speech
Havtorn, J. D., Borgholt, L., Hauberg, S., Frellsen, J. & Maaløe, L., 2022, Proceedings of ICLR Workshop on Deep Generative Models for Highly Structured Data. 23 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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deep-significance: Easy and Meaningful Signifcance Testing in the Age of Neural Networks
Ulmer, D., Hardmeier, C. & Frellsen, J., 2022. 20 p.Research output: Contribution to conference › Paper › Research › peer-review
Open AccessFile14 Downloads (Pure) -
How to deal with missing data in supervised deep learning?
Ipsen, N. B., Mattei, P-A. & Frellsen, J., 2022, Proceedings of 2022 International Conference on Learning Representations. 30 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile7 Downloads (Pure) -
Model-agnostic out-of-distribution detection using combined statistical tests
Bergamin, F., Mattei, P-A., Havtorn, J. D., Senetaire, H., Schmutz, H., Maaløe, L., Hauberg, S. & Frellsen, J., 2022, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics . International Machine Learning Society (IMLS), p. 10753-10776 (Proceedings of Machine Learning Research, Vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile6 Downloads (Pure) -
Bounds all around: training energy-based models with bidirectional bounds
Geng, C., Wang, J., Gao, Z., Frellsen, J. & Hauberg, S., 2021, Proceedings of 35th Conference on Neural Information Processing Systems . International Machine Learning Society (IMLS)Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile24 Downloads (Pure)
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Deep Generative Models for Dental Scans and Dental Treatments
Ye, J. Z., Hauberg, S., Frellsen, J., Søndergaard, P. L. & Fischer, S.
01/05/2022 → 30/04/2025
Project: PhD
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RRS-DK: Responsible Recommender Systems for Danish News Publishing
Kruse, J., Frellsen, J., Andersen, M. R., Hansen, L. K. & Lindskow, K.
15/12/2021 → 14/12/2024
Project: PhD
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Uncertainty and robustness in deep learning
Uppal, A., Boomsma, W. & Frellsen, J.
15/08/2021 → 14/08/2024
Project: PhD
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Uncertainty Quantification for Deep Learning Segmentation Models of Anatomical Networks
Zepf, K. M., Feragen, A. & Frellsen, J.
01/05/2021 → 30/04/2024
Project: PhD
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Center for Basic Machine Learning Research in Life Science
Feragen, A., Frellsen, J., Hauberg, S. & Winther, O.
01/01/2021 → 31/12/2025
Project: Research