Gradient Models Professors in Global

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Mikael Hedlind
KTH Royal Institute of Technology Sweden
data models
model driven engineering
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Edwin Kolbe
University of Basel Switzerland
statistical model
microscopic models
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Andrew Rechnitzer
University of British Columbia Canada
physical models
chemical models
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Eric Darve
Stanford University United States of America
transformer models
large-language models
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Luke Miller
Radboud University Netherlands
computational modeling
neural network modeling
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Steven Culpepper
University of Illinois United States of America
latent class models
psychometric models
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Maria Rodriguez
Uppsala University Sweden
constraint modelling
problem modelling
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Archer Zhang
University of Glasgow United Kingdom
density ratio models
semiparametric models
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Jim Davies
Carleton University Canada
cognitive modeling
brain modeling
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Zia Farooq
Umeå University Sweden
dynamic modeling
predictive modelling
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Jan Ambjørn
University of Copenhagen Denmark
matrix models
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Akikazu Hashimoto
University of Wisconsin–Madison United States of America
matrix models
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Philippe Di Francesco
University of Illinois United States of America
matrix models
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Ori Ganor
University of California, Berkeley United States of America
matrix models
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Joanna Karczmarek
University of British Columbia Canada
matrix models
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Afra Alishahi
Tilburg University Netherlands
neural models
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Kai Brüssau
University of Hamburg Germany
regression models
classification models
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Konstantin Zuev
California Institute of Technology United States of America
probability models
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Der Lin
Toronto Metropolitan University Canada
probability models
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Sergei Korotkikh
University of California, Berkeley United States of America
vertex models
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Carla Millar
University of Twente Netherlands
models
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