Interpretable Models Professors in Global

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Linbo Wang
University of Toronto Canada
graphical models
infinite-dimensional models
causal modeling
robust inference
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Fei Wang
Cornell University Netherlands
model interpretability
explainability
predictive modeling
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Kevin Smith
Royal Institute of Technology Sweden
interpretability
model adaptation
generative modeling
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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
explainability
generative models
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Zia Farooq
Umeå University Sweden
explainable ai
predictive modelling
dynamic modeling
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Ralf Möller
University of Hamburg Germany
probabilistic models
dynamic models
causal models
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Mikhail Glazunov
Delft University of Technology Netherlands
explainability in ai
generative modeling
probabilistic modeling
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Kerstin Bunte
University of Groningen Netherlands
interpretable models
explainable ai
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Zihuai University
Stanford University United States of America
interpretable machine learning
explainable machine learning
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Amir Rahnama
KTH Royal Institute of Technology Sweden
interpretable machine learning
explainable machine learning
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Michael Guerzhoy
University of Toronto Canada
interpretable machine learning
mechanistic interpretability
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Yan Leng
University of Texas at Austin United States of America
interpretable machine learning
human-centric interpretability
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Line Clemmensen
University of Copenhagen Denmark
explainable modeling
trustworthy modeling
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Moez Ali
Queen's University Canada
model interpretability
automated modeling
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Matthias Wilms
University of Michigan United States of America
interpretability
explainability
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Pepa Atanasova
University of Copenhagen Denmark
interpretability in language models
explainability methods
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Bahareh Tolooshams
University of Alberta Canada
interpretability
generative models
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Reza Skandari
Imperial College London United Kingdom
interpretable ai
large multimodal models
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Tanya Titchkosky
University of Toronto Canada
interpretive methods
interpretive sociology
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Yingzhen Li
Imperial College London United Kingdom
explainable machine learning
generative modeling
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Xin Tang
University of British Columbia Canada
ai interpretability
ai explainability
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