Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Søren Hauberg 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Decoder ensembling for learned latent geometries
Syrota, S., Moreno-Muñoz, P. & Hauberg, S., 2025, (Accepted/In press) Proceedings of the ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling. 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile54 Downloads (Orbit) -
Foundation models of protein sequences: A brief overview
Bjerregaard, A., Groth, P. M., Hauberg, S., Krogh, A. & Boomsma, W., 2025, In: Current Opinion in Structural Biology. 91, 10 p., 103004.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile10 Downloads (Orbit) -
Accurate Computation of the Logarithm of Modified Bessel Functions on GPUs
Plesner, A. L., Sørensen, H. H. B. & Hauberg, S., 2024, Proceedings of the 38th ACM International Conference on Supercomputing. Association for Computing Machinery, p. 213-224Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Gonzalez-Duque, M., Michael, R., Bartels, S., Zainchkovskyy, Y., Hauberg, S. & Boomsma, W., 2024, Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024) . 31 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile88 Downloads (Orbit) -
Gradients of Functions of Large Matrices
Krämer, P., Moreno-Muñoz, P., Roy, H. & Hauberg, S., 2024, Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024). 35 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile36 Downloads (Orbit)
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Geometric Bayesian Deep Learning
Syrota, S. (PhD Student), Hauberg, S. (Main Supervisor) & Winther, O. (Supervisor)
01/01/2025 → 31/12/2027
Project: PhD
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Stochastic Riemannian Geometry with Applications toData Modelling
Rygaard, F. M. (PhD Student), Markvorsen, S. S. (Main Supervisor) & Hauberg, S. (Supervisor)
15/12/2022 → 15/04/2026
Project: PhD
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Geometric representation learning
Roy, H. (PhD Student), Hauberg, S. (Main Supervisor) & Frellsen, J. (Supervisor)
01/07/2022 → 02/03/2026
Project: PhD
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The geometry of protein representations
Miani, M. (PhD Student), Hauberg, S. (Main Supervisor) & Boomsma, W. K. (Supervisor)
15/02/2022 → 20/01/2026
Project: PhD
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Center for Basic Machine Learning Research in Life Science
Feragen, A. (Project Manager), Frellsen, J. (Project Manager), Hauberg, S. (Project Manager) & Winther, O. (PI)
01/01/2021 → 31/12/2025
Project: Research