Publications per year
Publications 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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Collaborations and top research areas from the last five years
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Adaptive Cholesky Gaussian Processes
Bartels, S., Stensbo-Smidt, K., Moreno-Munoz, P., Boomsma, W., Frellsen, J. & Hauberg, S., 2023, Proceedings of the 26th International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, Vol. 206. p. 408-452 (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile14 Downloads (Pure) -
Explainability as statistical inference
Senetaire, H. H. J., Garreau, D., Frellsen, J. & Mattei, P-A., 2023, Proceedings of the 40th International Conference on Machine Learning. Proceedings of Machine Learning Research, Vol. 202. p. 30584-30612Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Open AccessFile8 Downloads (Pure) -
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
Bartels, S., Boomsma, W., Frellsen, J. & Garreau, D., 2023, In: Journal of Machine Learning Research. 24, 71, 57 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile7 Downloads (Pure) -
Learning To Generate 3d Representations of Building Roofs Using Single-View Aerial Imagery
Khomiakov, M., Mahou, A. V., Sánchez, A. R., Frellsen, J. & Andersen, M. R., 2023, Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile5 Downloads (Pure) -
Polygonizer: An auto-regressive building delineator
Khomiakov, M., Andersen, M. R. & Frellsen, J., 2023, (Accepted/In press) Proceedings of the ICLR 2023 Workshop on Machine Learning for Remote Sensing. 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile9 Downloads (Pure)
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Itô¿s formula as a learnable bridge between two SDEs
Jeha, P., Frellsen, J. & Andersen, M. R.
01/09/2022 → 31/08/2025
Project: PhD
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Geometric representation learning
Roy, H., Hauberg, S. & Frellsen, J.
01/07/2022 → 30/06/2025
Project: PhD
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Deep Generative Models for Dental Scans and Dental Treatments
Ye, J. Z., Hauberg, S., Frellsen, J., Fischer, S. & Søndergaard, P.
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 → 14/06/2025
Project: PhD
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Uncertainty and robustness in deep learning
Uppal, A., Frellsen, J. & Boomsma, W. K.
15/08/2021 → 14/08/2024
Project: PhD