Deep Generative Models Professors in Global

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Mikhail Glazunov
Delft University of Technology Netherlands
generative modeling
deep learning
bayesian deep learning
probabilistic modeling
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Emma Xue
Macquarie University Australia
deep learning
pattern mining
data mining
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Gerasimos Spanakis
Maastricht University Netherlands
deep learning
machine learning
computational modeling
data mining
neural networks
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Mousumi Rizia
Australian National University Australia
deep generative modelling
deep learning
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Hon Kwan
University of Windsor Canada
deep learning
deep neural network design
machine learning
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
deep gaussian processes
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Yee Teh
University of Oxford United Kingdom
deep learning
large scale machine learning
machine learning
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Mahdi Khodayar
The University of Tulsa Iran
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deep neural networks
machine learning
probabilistic graphical models
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Henry Pfister
Duke University Singapore
deep neural networks
machine learning
probabilistic graphical models
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Henry Pfister
Duke University Singapore
deep neural networks
machine learning
probabilistic graphical models
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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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Yarin Gal
University of Oxford United Kingdom
deep probabilistic ai
deep reinforcement learning
bayesian deep learning
machine learning
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Christoph Reisinger
University of Oxford United Kingdom
deep neural networks
mathematical computational modeling
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Robert Gracie
University of Waterloo Canada
deep learning
machine learning
data driven models
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Erik Larsson
Linköping University Sweden
deep learning
probabilistic models
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Max Welling
University of Amsterdam Netherlands
deep learning
machine learning
probabilistic models
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Saurabh Sinha
Georgia Institute of Technology United States of America
deep learning
machine learning
probabilistic models
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Aaron Courville
University of Montreal Canada
deep learning
machine learning
probabilistic models
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Guido Montúfar
University of California Los Angeles United States of America
deep learning
mathematical machine learning
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Adji Dieng
Princeton University United States of America
deep learning
probabilistic modeling
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Justin Beland
University of Toronto Canada
deep learning
probabilistic modeling
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