Generative Predictive Models Professors in Global

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Luke Miller
Radboud University Netherlands
computational modeling
neural network modeling
machine learning
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Ivo Dinov
University of Michigan United States of America
generative artificial intelligence modeling
predictive healthcare analytics
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Brendan Wright
University of New South Wales Australia
generative representation learning
machine learning
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Volodymyr Kuleshov
Cornell University Netherlands
generative probabilistic methods
machine learning
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Rajesh Ranganath
New York University United States of America
deep generative modeling
probabilistic inference
machine learning
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George Exarchakos
Eindhoven University of Technology Belgium
predictive networks
machine learning
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Dmitriy Niyazov
Duke University Singapore
predictive genetics
machine learning
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Veronika Rockova
University of Chicago United States of America
predictive inference
machine learning
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Gary Collins
University of Oxford United Kingdom
multivariable prediction models
machine learning
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Xijia Liu
Umeå University Sweden
predictive analysis
machine learning
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Marie Eriksson
Umeå University Sweden
predictive analysis
machine learning
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George Azzopardi
University of Groningen Netherlands
predictive analysis
machine learning
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A.c.c. Coolen
Radboud University Netherlands
predictive analysis
machine learning
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Javeria Hashmi
Dalhousie University Canada
predictive analysis
machine learning
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Sharareh Taghipour
Toronto Metropolitan University Canada
data-driven predictive modeling
data-driven prescriptive modeling
mathematical modeling
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Fredrik Lindsten
Linköping University Sweden
statistical predictions
machine learning
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Federico De Martino
Maastricht University Netherlands
predictive coding
machine learning
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Hedderik Van Rijn
University of Groningen Netherlands
generative ai education
computational modeling
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Eric Xing
Carnegie Mellon University United States of America
probabilistic modeling
machine learning
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