Deep Generative Modelling Professors in Global

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Mogana Ganggayah
Monash University Australia
deep learning
predictive modeling
machine learning
decision analytic modelling
data mining
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Mikhail Glazunov
Delft University of Technology Netherlands
generative modeling
deep learning
probabilistic modeling
bayesian deep learning
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Daniel Truhn
RWTH Aachen University Germany
generative models
deep learning
machine learning
large language models
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Matias Carrasco Kind
University of Illinois United States of America
generative predictive models
deep learning
machine learning
data mining
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Amos Storkey
University of Edinburgh United Kingdom
generative models
deep learning
generative ai
machine learning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
generative adversarial networks
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Yarin Gal
University of Oxford United Kingdom
deep probabilistic ai
deep reinforcement learning
bayesian deep learning
machine learning
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Utku Pamuksuz
University of Chicago United States of America
deep learning
generative ai
machine learning
data mining
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Vatsa Patel
Penn State Harrisburg United States of America
generative models
machine learning
data-driven modeling
applied deep learning
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Gerasimos Spanakis
Maastricht University Netherlands
deep learning
computational modeling
machine learning
data mining
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John Quilty
University of Waterloo Canada
deep learning
data-driven modelling
machine learning
data mining
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Yiqiao Zhong
University of Wisconsin–Madison United States of America
deep learning
generative ai
machine learning
large language models
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Jingmin Huang
University of Southampton United Kingdom
deep generative models
deep learning
machine learning
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Molei Tao
Georgia Institute of Technology United States of America
generative modeling
deep learning theory
machine learning
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Fergus Nevill
New York University United States of America
generative models
deep learning
machine learning
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Jiatao Gu
University of Pennsylvania United States of America
generative models
deep learning
machine learning
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Tim Rudner
University of Toronto Canada
generative models
deep learning
machine learning
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Martha White
University of Alberta Canada
generative models
deep learning
machine learning
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Jelmer Wolterink
University of Twente Netherlands
generative models
geometric deep learning
machine learning
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Jan Gerken
University of Gothenburg Sweden
generative models
geometric deep learning
machine learning
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
deep gaussian processes
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