Generalized Linear Models Professors in Global

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Till Bretschneider
University of Warwick United Kingdom
generative modeling
machine learning
image-based modeling
neural networks
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Nikolai Kühne
Aalborg University Denmark
large language models
machine learning
sequence modelling
neural networks
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Fangxin Fang
Imperial College London United Kingdom
geophysical models
predictive modeling
machine learning
model reduction
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James Booth
Cornell University Netherlands
generalized linear models
machine learning
mixed models
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Nanwei Wang
University of New Brunswick Canada
linear mixed models
graphical models
machine learning
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Andi Han
University of Sydney Australia
generative models
large language models
machine learning
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Daniel Truhn
RWTH Aachen University Germany
generative models
large language models
machine learning
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Jiawei Zhang
University of Wisconsin–Madison United States of America
generative models
large language models
machine learning
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Alan Yuille
Johns Hopkins University United States of America
mathematical models
computational models
machine learning
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Honglak Lee
University of Michigan United States of America
graphical models
large-scale learning
machine learning
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Harsha Honnappa
Purdue University United States of America
generative modeling
stochastic models
model estimation
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Cemal Erdem
Umeå University Sweden
large-scale mechanistic modelling
mathematical modeling
machine learning
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
graphical models
regression models
statistical modeling
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Kai Brüssau
University of Hamburg Germany
large language models
regression models
classification models
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Rajesh Ranganath
New York University United States of America
generalization
deep generative modeling
machine learning
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Yingzhen Li
Imperial College London United Kingdom
generative modeling
machine learning
probabilistic machine learning
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Mingyuan Zhou
University of Texas at Austin United States of America
generative models
probabilistic machine learning
deep neural networks
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Martha White
University of Alberta Canada
generative models
machine learning
neural networks
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Tilda Herrgårdh
Linköping University Sweden
mechanistic models
mathematical modelling
machine learning
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Jaime Ide
Yale University United States of America
theoretical modeling
predictive modeling
machine learning
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Georges Monette
York University Canada
longitudinal models
statistical models
mixed models
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