Probabilistic Generative Models Professors in Global

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Yuqi Gu
Columbia University United States of America
probabilistic graphical models
deep generative models
statistical machine learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
deep generative models
statistical machine learning
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Frank Wood
University of British Columbia Canada
deep generative modeling
probabilistic programming
applied probabilistic machine learning
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Kemal Büyükkurt
Concordia University Canada
probabilistic choice models
probabilistic decision support systems
subjective probability distributions
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Xenia Miscouridou
Imperial College London United Kingdom
deep generative models
stochastic process modeling
bayesian statistical machine learning
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Syed Haider
Columbia University United States of America
predictive modeling
generative ai
probability
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Martin Möhle
Eberhard Karls University Tübingen Germany
probabilistic number theory
probability theory
mathematical population genetics
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Hina Shaheen
University of Manitoba Canada
probability stochastic processes
computational modelling
statistical machine learning
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Guang Lin
Purdue University United States of America
predictive modeling
stochastic multiscale modeling
statistical machine learning
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Guang Lin
Purdue University United States of America
predictive modeling
stochastic multiscale modeling
statistical machine learning
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Guy Bresler
Massachusetts Institute of Technology United States of America
statistical models
mathematical models
graphical models
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Nicolai Rothe
Technical University of Berlin Germany
generative ai
statistical modeling
mathematical modeling
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Mi Park
University of British Columbia Canada
generative ai
theoretical machine learning
statistical machine learning
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Jethro Linley
University of Glasgow United Kingdom
statistical modelling
statistical machine learning
predictive analytics
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
regression models
statistical modeling
graphical models
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Jonathan Weare
New York University United States of America
probability theory
stochastic algorithms
statistical machine learning
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Kavita Ramanan
Brown University United States of America
probability theory
stochastic networks
high-dimensional probability
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Mingyuan Zhou
University of Texas at Austin United States of America
generative models
probabilistic machine learning
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Mikhail Glazunov
Delft University of Technology Netherlands
probabilistic modeling
generative modeling
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Qiang Liu
University of Texas at Austin United States of America
probabilistic graphical models
generative modeling
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Yingzhen Li
Imperial College London United Kingdom
probabilistic machine learning
generative modeling
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