Deep Uncertainty Professors in Global

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Mikhail Glazunov
Delft University of Technology Netherlands
epistemic uncertainty
deep learning
robustness of deep neural networks
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Tim Worrall
University of Edinburgh United Kingdom
risk uncertainty
information uncertainty
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Robert Gracie
University of Waterloo Canada
uncertainty
deep learning
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Yehua Wei
Duke University Singapore
uncertainty
complex decision-making
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Chen Li
Erasmus University Rotterdam Netherlands
decision making under uncertainty
social interactions and uncertainty
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Georg Stadler
New York University United States of America
uncertainty quantification
optimization under uncertainty
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Laura Scarabosio
Radboud University Netherlands
uncertainty quantification
deep neural networks
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Mete Soner
Princeton University United States of America
decisions under uncertainty
knightian uncertainty
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Pierre-marc Jodoin
University of Sherbrooke Canada
uncertainty prediction
deep learning
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Andrew Wilson
New York University United States of America
uncertainty representation
deep learning
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David Yin
Stanford University United States of America
decision-making under uncertainty
geological uncertainty quantification
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Peter Wakker
Erasmus University Rotterdam Netherlands
decision uncertainty
ambiguity
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Ben Adcock
Simon Fraser University Canada
uncertainty quantification
deep learning
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Pietro Veronesi
University of Chicago Booth School of Business United States of America
political uncertainty
bayesian uncertainty learning
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Anshuk Uppal
Technical University of Denmark Denmark
uncertainty robustness
deep learning
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Justin Beland
University of Toronto Canada
optimization under uncertainty
deep learning
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N. Sukumar
University of California, Davis United States of America
uncertainty quantification
deep learning
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Aasa Feragen
Technical University of Denmark Denmark
uncertainty quantification
deep learning
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Samir Maity
Aalborg University Denmark
uncertainty quantification
deep learning
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Agustinus Kristiadi
Western University Canada
uncertainty quantification
deep learning
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John Quilty
University of Waterloo Canada
uncertainty quantification
deep learning
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