Author of the publication

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.

, , , , , and . CVPR, page 16143-16152. IEEE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond., , , , , , , and . J. Mach. Learn. Res., (2023)Pruning by explaining: A novel criterion for deep neural network pruning., , , , , , and . Pattern Recognit., (2021)iNNvestigate Neural Networks!, , , , , , , , , and . J. Mach. Learn. Res., (2019)XAI-based Comparison of Input Representations for Audio Event Classification., , , , and . CoRR, (2023)Explainable AI for Time Series via Virtual Inspection Layers., , , and . CoRR, (2023)But that's not why: Inference adjustment by interactive prototype deselection., , , and . CoRR, (2022)Opening the machine learning black box with Layer-wise Relevance Propagation.. Technical University of Berlin, Germany, (2019)Generative Fractional Diffusion Models., , , , , , , , , and 1 other author(s). CoRR, (2023)Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test., , , and . CoRR, (2024)Explain and improve: LRP-inference fine-tuning for image captioning models., , , and . Inf. Fusion, (2022)