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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SDG 3 Good Health and Well-being
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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
Publications
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Extended neural contractive dynamical systems: On multiple tasks and Riemannian safety regions
Beik-Mohammadi, H., Hauberg, S., Arvanitidis, G., Neumann, G. & Rozo, L., 2026, (Accepted/In press) In: International Journal of Robotics Research. 32 p.Research output: Contribution to journal › Journal article › Research › peer-review
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GEORCE: a fast new control algorithm for computing geodesics
Rygaard, F. M. & Hauberg, S., 2026, (Accepted/In press) In: Information Geometry. 58 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Are Generative Models Fair? A Study of Racial Bias in Dermatological Image Generation
López-Pérez, M., Hauberg, S. & Feragen, A., 2025, Proceedings of the 23rd Scandinavian Conference on Image Analysis. Springer, Vol. 15726. p. 389-402Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
Miani, M., Roy, H. & Hauberg, S., 2025, Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. ML Research Press, p. 2062-2070 (Proceedings of Machine Learning Research, Vol. 258).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
File91 Downloads (Orbit) -
Exploring Bidirectional Bounds for Minimax-Training of Energy-Based Models
Geng, C., Wang, J., Chen, L., Gao, Z., Frellsen, J. & Hauberg, S., 2025, In: International Journal of Computer Vision. 133, p. 5898–5919Research output: Contribution to journal › Journal article › Research › peer-review
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Information Geometric Analysis of Deep Learning
Borras, N. E. (PhD Student), Arvanitidis, G. (Main Supervisor) & Hauberg, S. (Supervisor)
15/10/2025 → 14/10/2028
Project: PhD
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Geometric Approximate Bayesian Inference
Jacobsen, A. K. (PhD Student), Arvanitidis, G. (Main Supervisor) & Hauberg, S. (Supervisor)
01/08/2025 → 31/07/2028
Project: PhD
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AI-driven Electron Tracking for High-Energy Radiation Detection
Kossakowski, M. (PhD Student), Kuvvetli, I. (Main Supervisor) & Hauberg, S. (Supervisor)
01/07/2025 → 30/06/2028
Project: PhD
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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