Anna Hedström

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Salient Region Detection

Top Venues

J. Mach. Learn. Res.

Trans. Mach. Learn. Res.

Publications

Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test. CoRR (2024)
Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M.-C. Höhne, Kirill Bykov
CoSy: Evaluating Textual Explanations of Neurons. CoRR (2024)
Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne
A Fresh Look at Sanity Checks for Saliency Maps. CoRR (2024)
Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond. J. Mach. Learn. Res. 24 (2023)
Shanghua Liu, Anna Hedström, Deepak Hanike Basavegowda, Cornelia Weltzien, Marina M.-C. Höhne
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability. CoRR (2023)
Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. Trans. Mach. Learn. Res. 2023 (2023)
Philine Bommer, Marlene Kretschmer, Anna Hedström, Dilyara Bareeva, Marina M.-C. Höhne
Finding the right XAI method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science. CoRR (2023)
Anna Hedström, Philine Bommer, Kristoffer K. Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. CoRR (2023)
Anna Hedström, Leander Weber, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations. CoRR (2022)
Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne
NoiseGrad - Enhancing Explanations by Introducing Stochasticity to Model Weights. AAAI (2022)
Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne
NoiseGrad: enhancing explanations by introducing stochasticity to model weights. CoRR (2021)