Random Tensor Models Professors in Global

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Nikolai Kühne
Aalborg University Denmark
machine learning
sequence modelling
large language models
neural networks
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Daren Cline
Texas A&M University United States of America
nonlinear time series models
dynamic random networks
heavy-tailed random variables
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Harold Kushner
Brown University United States of America
stochastic networks
stochastic systems theory
complex stochastic systems
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Beidi Chen
Carnegie Mellon University United States of America
machine learning
machine learning systems
large language models
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Gregory Sorkin
London School of Economics and Political Science United Kingdom
randomized optimization
discrete random systems
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Mateus Maia Marques
University of Glasgow United Kingdom
bayesian tree models
statistical learning models
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Edward Cripps
University of Western Australia Australia
probabilistic modeling
spatio-temporal models
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Manling Li
Northwestern University United States of America
large language models
representational learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
deep generative models
probabilistic modeling
statistical machine learning
latent variable models
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Robin Evans
University of Oxford United Kingdom
bayesian network models
latent variable models
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Zhuo Jin
Macquarie University Australia
large language models
stochastic games
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Daniel Truhn
RWTH Aachen University Germany
machine learning
large language models
generative models
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Jiawei Zhang
University of Wisconsin–Madison United States of America
machine learning
large language models
generative models
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Andi Han
University of Sydney Australia
machine learning
large language models
generative models
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Mikhail Glazunov
Delft University of Technology Netherlands
probabilistic modeling
generative modeling
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Jun Shao
University of Wisconsin–Madison United States of America
linear models
nonlinear models
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
machine learning
large language models
neural networks
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Yejin Choi
Stanford University United States of America
large language models
neural networks
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Jingsong Yuan
University of Manchester United Kingdom
time series modelling
random fields
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