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Anna Hedström
Anna Hedström
Verified email at tu-berlin.de - Homepage
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Quantus: An explainable ai toolkit for responsible evaluation of neural network explanations and beyond
A Hedström, L Weber, D Krakowczyk, D Bareeva, F Motzkus, W Samek, ...
Journal of Machine Learning Research 24 (34), 1-11, 2023
1142023
NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights
K Bykov, A Hedström, S Nakajima, MMC Höhne
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 2021
282021
Finding the right XAI method--A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
P Bommer, M Kretschmer, A Hedström, D Bareeva, MMC Höhne
arXiv preprint arXiv:2303.00652, 2023
132023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
A Hedström, P Bommer, KK Wickstrøm, W Samek, S Lapuschkin, ...
Transactions on Machine Learning Research (TMLR), 2023
112023
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test
A Hedström, L Weber, S Lapuschkin, M Höhne
NeurIPS Workshop XAI in Action: Past, Present, and Future Applications, 2024
2024
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability
S Liu, A Hedström, DH Basavegowda, C Weltzien, MMC Höhne
arXiv preprint arXiv:2312.08408, 2023
2023
Evaluation of explainable AI solutions in climate science
P Bommer, M Kretschmer, A Hedstroem, D Bareeva, MMC Hoehne
EGU General Assembly Conference Abstracts, EGU-12528, 2023
2023
Explainable Artificial Intelligence: How to Evaluate Explanations of Deep Neural Network Predictions using the Continuity Test
A Hedström
2020
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