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I am a Professor in the Machine Learning Group at the University of Tromsø (UiT) – The Arctic University of Norway. I am working on the development of deep learning algorithms that learn in the presence of limited labeled data and their explainability.
I am a Professor in the Machine Learning Group at the University of Tromsø (UiT) – The Arctic University of Norway. I am working on the development of deep learning algorithms that learn in the presence of limited labeled data and their explainability.
In the past, I have had long-term research stays at the Machine Learning Department at Carnegie Mellon University, working with Eric P. Xing, and the Berlin Center for Machine Learning at the Technical University of Berlin, working with Klaus-Robert Müller.
In the past, I have had long-term research stays at the Machine Learning Department at Carnegie Mellon University, working with Eric P. Xing, and the Berlin Center for Machine Learning at the Technical University of Berlin, working with Klaus-Robert Müller.
Besides the development of label-efficient deep learning methods, my research interests also extend to learning from multi-modal data, medical image analysis, and remote sensing.
Besides the development of label-efficient deep learning methods, my research interests also extend to learning from multi-modal data, medical image analysis, and remote sensing.
Recent News
Recent News
- 3 papers accepted at MICCAI 2025.
- We will be organizing an ICCV Workshop on Beyond Euclidean: Hyperbolic and Hyperspherical Learning for Computer Vision (May 2025).
- Paper accepted at ICML (May 2025).
- Awarded the UiT Young Researcher Award (April 2025).
- We will be organizing a Summer School on Multi-Modal Learning as part of NORAs Research School (April 2025).
- 2 papers accepted at CVPR and 2 at ICLR. One at AISTATS and AAAI (March 2025).
- Invited Keynote at the Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2024 (October 2024).
- Awarded the NORA Early Career Investigator Award (June 2024).
- We will be organizing an ECCV Workshop on Beyond Euclidean: Hyperbolic and Hyperspherical Learning for Computer Vision (May 2024).
- Paper accepted at AAAI 2024 and CVPR 2024 (May 2024).
- 2 papers accepted at CVPR and 2 at ICCV (August 2023).
- Invited Keynote at the 27th Conference on Medical Image Understanding and Analysis 2023 (July 2023).
- We will be organizing a Summer School on Self-Supervised Learning as part of NORAs Research School (April 2023).
- 2 papers accepted at NeurIPS 2022 (September 2022).
- Paper accepted at MICCAI 2022 and ACM MM 2022 (July 2022).
- We will be organizing an ECCV Workshop on Self-supervised Learning for Next-Generation Industry level Autonomous Driving (June 2022).
- Paper accepted at CVPR 2022 (March 2022).
- Medical computer vision papers at ISBI 2022 and Medical Image Analysis (January 2022).
- Paper accepted at NeurIPS 2021 (September 2021).
- Invited talk on Deep Clustering at IEEE CASS seasonal school on "New Trends of Visual and Language Understanding" (August 2021).
- Paper accepted at ICCV 2021 and at ACM MM 2021 (July 2021).
- 2 Papers accepted at ECML PKDD 2021 (June 2021).
- We will be organizing an ICCV Workshop on Self-supervised Learning for Next-Generation Industry level Autonomous Driving (April 2021).
- Paper accepted at CVPR 2021 (February 2021).
- Awarded NFR FRIPRO grant (December 2020).
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