Probabilistic Generative Modeling Professors in Global

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Adji Dieng
Princeton University United States of America
probabilistic modeling
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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Nethal Jajo
University of Sydney Australia
stochastic system modelling
statistical machine learning
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Carly Rozins
York University Canada
mathematical modelling
evolutionary modelling
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Bouchra Nasri
University of Montreal Canada
mathematical modelling
statistical models
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Iain Moyles
York University Canada
mathematical modelling
behaviour modelling
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Mi Park
University of British Columbia Canada
theoretical machine learning
generative ai
statistical machine learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
statistical machine learning
shape-constrained prediction
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Tony Cai
University of Pennsylvania United States of America
statistical machine learning
large-scale inference
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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational statistical machine learning
large-scale machine learning
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Gabriela Czanner
University of Southampton United Kingdom
statistical machine learning models
spatial statistical models
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Jonathan Weare
New York University United States of America
statistical machine learning
stochastic algorithms
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Shai Ben-david
University of Waterloo Canada
statistical machine learning
computational machine learning
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Samuel Muller
Macquarie University Australia
predictive methods
statistical models
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Xavier De Luna
Umeå University Sweden
generative ai
statistical models
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Purnamrita Sarkar
University of Texas at Austin United States of America
statistical machine learning
statistical models
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Xenia Miscouridou
Imperial College London United Kingdom
deep generative models
stochastic process modeling
statistical network modeling
bayesian statistical machine learning
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Guy Bresler
Massachusetts Institute of Technology United States of America
mathematical models
statistical models
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Denis Zorin
New York University United States of America
geometric modeling
variational modeling
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Chris Cahill
Michigan State University United States of America
bayesian modeling
population dynamics modeling
hierarchical modeling
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