Explainable Models Professors in Global

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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
explainability
generative models
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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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Line Clemmensen
University of Copenhagen Denmark
explainable modeling
trustworthy modeling
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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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Matthias Wilms
University of Michigan United States of America
explainability
interpretability
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Yingzhen Li
Imperial College London United Kingdom
explainable machine learning
generative modeling
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Jordan Vice
University of Western Australia Australia
explainable ai
generative models
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Mikhail Glazunov
Delft University of Technology Netherlands
explainability in ai
generative modeling
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Michael Guerzhoy
University of Toronto Canada
interpretable machine learning
mechanistic interpretability
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Bahareh Tolooshams
University of Alberta Canada
interpretability
generative models
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Ralf Möller
University of Hamburg Germany
causal models
dynamic models
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Twan Basten
Eindhoven University of Technology Belgium
dependable systems
computational models
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Kevin Smith
Royal Institute of Technology Sweden
interpretability
generative modeling
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Alan Yuille
Johns Hopkins University United States of America
mathematical models
computational models
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Guy Bresler
Massachusetts Institute of Technology United States of America
mathematical models
statistical models
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Smaranda Muresan
Columbia University United States of America
explainable models
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Cecilia Ying
Purdue University United States of America
model explainability
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Cecilia Ying
Purdue University United States of America
model explainability
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Krzysztof Dzieciolowski
Concordia University Canada
explainable machine learning
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