Randomized Models Professors in Global

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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random matrices
stochastic analysis
random approximation algorithms
random graph representation
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Pascal Vincent
University of Montreal Canada
statistical models
machine learning
neural networks
pattern recognition
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Till Bretschneider
University of Warwick United Kingdom
machine learning
neural networks
generative modeling
image-based modeling
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
statistical machine learning
deep generative models
latent variable models
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Nikolai Kühne
Aalborg University Denmark
machine learning
neural networks
sequence modelling
large language models
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Jaime Ide
Yale University United States of America
predictive modeling
machine learning
theoretical modeling
pattern recognition
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Yuqi Gu
Columbia University United States of America
statistical machine learning
probabilistic graphical models
deep generative models
latent variable models
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Laurence Frank
Utrecht University Netherlands
randomized response
predictive modelling
machine learning
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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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A.c.c. Coolen
Radboud University Netherlands
random networks
machine learning
neural networks
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Georges Monette
York University Canada
statistical models
mixed models
longitudinal models
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
statistical modeling
machine learning
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Chunfang Lin
Queen's University Canada
simulation models
statistical modeling
machine learning
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Fangxin Fang
Imperial College London United Kingdom
predictive modeling
model reduction
machine learning
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Harsha Honnappa
Purdue University United States of America
stochastic models
generative modeling
model estimation
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Kai Brüssau
University of Hamburg Germany
regression models
classification models
large language models
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Da Zhao
University of Melbourne Australia
predictive modeling
statistical modeling
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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Nicolas Le Roux
University of Montreal Canada
statistical modeling
machine learning
neural networks
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Kamal Hossain
University of Melbourne Australia
statistical modeling
machine learning
computational modeling
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Reimer Kühn
King's College London United Kingdom
random matrices
risk modeling
neural networks
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