Latent Factor Models Professors in Global

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Bryon Aragam
University of Chicago Booth School of Business United States of America
latent variable models
deep generative models
probabilistic modeling
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Kai Brüssau
University of Hamburg Germany
regression models
classification models
large language models
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Maggie Niu
Pennsylvania State University United States of America
latent variable models
network models
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Yuqi Gu
Columbia University United States of America
latent variable models
deep generative models
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David Choi
Carnegie Mellon University United States of America
latent variables
network models
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Amin Mousavi
University of Saskatchewan Canada
latent variable modeling
statistical modeling
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Sharon Christ
Purdue University United States of America
latent variables
longitudinal modeling
mixed-effect models
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Natalia Bailey
Monash University Australia
factor models
spatial models
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Georges Monette
York University Canada
longitudinal models
statistical models
mixed models
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Yvan Saint Aubin
Université de Montréal Canada
lattice models
statistical models
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Narayanaswamy Balakrishnan
McMaster University Canada
statistical models
probabilistic models
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Guy Bresler
Massachusetts Institute of Technology United States of America
statistical models
mathematical models
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Yali Amit
University of Chicago United States of America
statistical models
stochastic models
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Yali Amit
University of Chicago United States of America
statistical models
stochastic models
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Alan Yuille
Johns Hopkins University United States of America
computational models
mathematical models
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Yiping Guo
McMaster University Canada
probabilistic models
stochastic models
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F. Rubio
University College London United Kingdom
longitudinal models
survival models
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Ralf Möller
University of Hamburg Germany
probabilistic models
causal models
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Sergei Dudarev
University of Oxford United Kingdom
mathematical models
stochastic models
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Nabarun Deb
University of Chicago United States of America
network models
generative modeling
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Gabriela Czanner
University of Southampton United Kingdom
statistical machine learning models
longitudinal spatio-temporal models
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