Mechanistic Interpretability Professors in Global

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Michael Guerzhoy
University of Toronto Canada
mechanistic interpretability
interpretable machine learning
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Matthias Wilms
University of Michigan United States of America
interpretability
explainability
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Fei Wang
Cornell University Netherlands
model interpretability
explainability
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Fei Wang
Cornell University Netherlands
model interpretability
explainability
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Amir Rahnama
KTH Royal Institute of Technology Sweden
interpretable machine learning
explainable machine learning
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Zihuai University
Stanford University United States of America
interpretable machine learning
explainable machine learning
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Pepa Atanasova
University of Copenhagen Denmark
interpretability in language models
explainability methods
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Kerstin Bunte
University of Groningen Netherlands
interpretable models
explainable ai
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Marsha Rosengarten
King's College London United Kingdom
mechanistic thought
mechanistic time
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Ehsan Mobaraki
Aalborg University Denmark
explainability
explainable artificial intelligence
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Helle Dam
Aarhus University Denmark
interpretation theory
consecutive interpreting
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Tim Stowell
University of California Los Angeles United States of America
semantic interpretation
temporal interpretation
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Sandra Hale
University of New South Wales Australia
court interpreting
legal interpreting
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Rio Fear
University of Cambridge United Kingdom
mechanistic interpretability
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Iwan Williams
University of Copenhagen Denmark
mechanistic interpretability
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Zhijing Jin
University of Toronto Canada
mechanistic interpretability
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Eric Wong
University of Pennsylvania United States of America
interpretability
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Joshua Loftus
London School of Economics United Kingdom
interpretability
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Tim Räz
University of Bern Switzerland
interpretability
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Kevin Smith
Royal Institute of Technology Sweden
interpretability
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Eleni Gregoromichelaki
University of Gothenburg Sweden
interpretability
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