
Doktorand Anna Hedström
Department: Data Science in Bioeconomy
Projects
Publications
- Hedström, A.; Bommer, P.; Burns, T.; Lapuschkin, S.; Samek, W.; Höhne, M. (2025): Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions. Transactions on Machine Learning Research. : p. 1-48. Online: https://openreview.net/pdf?id=ukLxqA8zXj
- Bommer, P.; Kretschmer, M.; Hedström, A.; Bareeva, D.; Höhne, M. (2024): Finding the right XAI Method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science. Artificial Intelligence for the Earth Systems (AIES). (3): p. 1-26. Online: https://doi.org/10.1175/AIES-D-23-0074.1
- Hedström, A.; Weber, L.; Lapuschkin, S.; Höhne, M. (2024): Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test. arXiv. : p. 1-19. Online: https://arxiv.org/abs/2401.06465
- Hedström, A.; Bommer, P.; Wickstrøm, K.; Samek, W.; Lapuschkin, S.; Höhne, M. (2023): The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. Transactions on Machine Learning Research. (06): p. 1-35. Online: https://openreview.net/forum?id=j3FK00HyfU