Birk Torpmann-Hagen

According to our database, Birk Torpmann-Hagen authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Probabilistic Runtime Verification, Evaluation, and Risk Assessment of Visual Deep Learning Systems.

Birk Torpmann-Hagen, Pål Halvorsen, Michael A. Riegler, Dag Johansen

ACM Trans. Intell. Syst. Technol., June, 2026

When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels.

Sushant Gautam, Finn Schwall, Annika Willoch Olstad, Fernando Vallecillos Ruiz, Birk Torpmann-Hagen, Sunniva Maria Stordal Bjørklund, Leon Moonen, Klas Pettersen, Michael A. Riegler

CoRR, May, 2026

2025

Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry.

Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, Dag Johansen

CoRR, September, 2025

Runtime Verification for Visual Deep Learning Systems With Loss Prediction.

Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, Dag Johansen

IEEE Access, 2025

Runtime Verification for Deep Learning Systems.

Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, Dag Johansen

Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering, 2025

2024

A Robust Framework for Distributional Shift Detection Under Sample-Bias.

Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, Dag Johansen

IEEE Access, 2024

2022

Addressing Generalization Failure in Deep Detection Models for Fishing Trawler Video Analytics.

Birk Torpmann-Hagen, Pål Halvorsen, Michael Riegler, Dag Johansen

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation.

Birk Torpmann-Hagen, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen, Kyrre Glette

Proceedings of the IEEE International Symposium on Multimedia, 2022