Neural Model Interpretability Professors in Global

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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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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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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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Helle Dam
Aarhus University Denmark
interpretation theory
consecutive interpreting
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Ehsan Mobaraki
Aalborg University Denmark
explainability
explainable artificial intelligence
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Anna Korhonen
University of Cambridge United Kingdom
explainability
cognitive modeling
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Erica Thompson
University College London United Kingdom
model evaluation
inference models
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Sandra Hale
University of New South Wales Australia
court interpreting
legal interpreting
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Jim Davies
Carleton University Canada
brain modeling
cognitive modeling
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Antje Weisheimer
University of Oxford United Kingdom
model uncertainty
predictability
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Yunyao Cheng
Aalborg University Denmark
neural network interpretability
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Moez Ali
Queen's University Canada
model interpretability
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Huteng Dai
University of Michigan United States of America
model interpretability
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Alejandro Hernandez
Stockholm University Sweden
machine learning interpretability
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Thomas Chen
University of Texas at Austin United States of America
interpretability in machine learning
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Shai Ben-david
University of Waterloo Canada
interpretability in machine learning
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Vikram Ramaswamy
Princeton University United States of America
interpretability in machine learning
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Yuting Yuan
Pennsylvania State University United States of America
decision-making interpretability
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