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Anna Hedström
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 8
Top Topics
Ai Methods
Parameter Settings
Gold Standard
Neural Network
Top Venues
CoRR
J. Mach. Learn. Res.
AAAI
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Publications
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Anna Hedström
,
Leander Weber
,
Sebastian Lapuschkin
,
Marina M.-C. Höhne
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test.
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)
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)