Explainable Machine Learning Models Professors in Global

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David Inouye
Purdue University United States of America
explainability
trustworthy machine learning
causal machine learning
robust machine learning
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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
explainability
generative models
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Amir Rahnama
KTH Royal Institute of Technology Sweden
explainable machine learning
interpretable machine learning
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Zihuai University
Stanford University United States of America
explainable machine learning
interpretable machine learning
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Henrik Boström
KTH Royal Institute of Technology Sweden
explainable machine learning
trustworthy machine learning
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Line Clemmensen
University of Copenhagen Denmark
explainable modeling
trustworthy modeling
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Fei Wang
Cornell University Netherlands
explainability
model interpretability
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Fei Wang
Cornell University Netherlands
explainability
model interpretability
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Markel Vigo
University of Manchester United Kingdom
explainable ai
usable decision-making
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Jordan Vice
University of Western Australia Australia
explainable ai
generative models
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Michael Guerzhoy
University of Toronto Canada
interpretable machine learning
mechanistic interpretability
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Prashant Rajaram
Western University Canada
interpretable machine learning
causal machine learning
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Matthias Wilms
University of Michigan United States of America
explainability
interpretability
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Mateja Jamnik
University of Cambridge United Kingdom
explainability
automated reasoning
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Nikolay Malkin
University of Edinburgh United Kingdom
machine reasoning
generative models
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Alan Yuille
Johns Hopkins University United States of America
computational models
mathematical models
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Flora Salim
University of New South Wales Australia
trustworthy machine learning
robust machine learning
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Swarat Chaudhuri
University of Texas at Austin United States of America
trustworthy machine learning
automated reasoning
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Swarat Chaudhuri
University of Texas at Austin United States of America
trustworthy machine learning
automated reasoning
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Yaoliang Yu
University of Waterloo Canada
trustworthy machine learning
generative models
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Bahareh Tolooshams
University of Alberta Canada
interpretability
generative models
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