基本信息
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Bio
He is recipient of multiple best paper awards, including the 2020 Pattern Recognition Best Paper Award and the 2022 Digital Signal Processing Best Paper Prize, and part of the expert group developing the ISO/IEC MPEG-17 NNC standard. He is the leading editor of the Springer book "Explainable AI: Interpreting, Explaining and Visualizing Deep Learning" (2019), co-editor of the open access Springer book “xxAI – Beyond explainable AI” (2022), and organizer of various special sessions, workshops and tutorials on topics such as explainable AI, neural network compression, and federated learning. Dr. Samek has co-authored more than 200 peer-reviewed journal and conference papers; some of them listed as ESI Hot (top 0.1%) or Highly Cited Papers (top 1%).
Research Interests
Papers共 296 篇Author StatisticsCo-AuthorSimilar Experts
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Sonia Joseph, Praneet Suresh, Ethan Goldfarb, Lorenz Hufe, Yossi Gandelsman, Robert Graham, Danilo Bzdok,Wojciech Samek, Blake Aaron Richards
arxiv(2025)
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Jesper Sören Dramsch,Monique M. Kuglitsch, Miguel-Ángel Fernández-Torres,Andrea Toreti, Rustem Arif Albayrak,Lorenzo Nava, Saman Ghaffarian, Ximeng Cheng,Jackie Ma,Wojciech Samek, Rudy Venguswamy, Anirudh Koul, Raghavan Muthuregunathan,Arthur Hrast Essenfelder
Nature Geosciencepp.1-3, (2025)
Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Alexandra Volkova, Soroush Tabesh,Sebastian Lapuschkin,Wojciech Samek,Christoph H. Lampert
CoRR (2025)
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Sayed Mohammad Vakilzadeh Hatefi,Maximilian Dreyer, Reduan Achtibat,Patrick Kahardipraja,Thomas Wiegand,Wojciech Samek,Sebastian Lapuschkin
arxiv(2025)
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Nature Machine Intelligencepp.1-11, (2025)
Bruno Puri,Aakriti Jain, Elena Golimblevskaia,Patrick Kahardipraja,Thomas Wiegand,Wojciech Samek,Sebastian Lapuschkin
CoRR (2025)
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arxiv(2025)
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CoRR (2025)
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CoRR (2025)
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Author Statistics
#Papers: 293
#Citation: 31240
H-Index: 59
G-Index: 176
Sociability: 6
Diversity: 3
Activity: 201
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