Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy.
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| Title: | Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy. |
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| Authors: | Anders CJ; Machine Learning Group, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany.; BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany., Neumann D; Department of Artificial Intelligence, Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany., Samek W; BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.; Department of Artificial Intelligence, Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany.; Machine Learning and Communications Group, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany., Müller KR; Machine Learning Group, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany.; BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.; Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea.; Max Planck Institut für Informatik, Saarbrücken, Germany., Lapuschkin S; Department of Artificial Intelligence, Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany.; Centre of eXplainable Artificial Intelligence, Technological University Dublin, Dublin, Ireland. |
| Source: | PloS one [PLoS One] 2026 Jan 02; Vol. 21 (1), pp. e0336683. Date of Electronic Publication: 2026 Jan 02 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0336683 |
