Attribution Models Professors in Global

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Andi Han
University of Sydney Australia
generative models
diffusion models
machine learning
large language models
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Kai Brüssau
University of Hamburg Germany
regression models
classification models
large language models
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Alan Yuille
Johns Hopkins University United States of America
mathematical models
computational models
machine learning
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Guy Bresler
Massachusetts Institute of Technology United States of America
mathematical models
statistical models
graphical models
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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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Erica Thompson
University College London United Kingdom
inference models
ethics modelling
model evaluation
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Harsha Honnappa
Purdue University United States of America
stochastic models
model estimation
generative modeling
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Mohsen Moghaddam
Georgia Institute of Technology United States of America
computational models
machine learning
human modeling
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Ohad Perry
Northwestern University United States of America
inventory models
stochastic models
queuing models
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Chunfang Lin
Queen's University Canada
simulation models
machine learning
statistical modeling
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David Duvenaud
University of Toronto Canada
generative models
machine learning
deep probabilistic models
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Fangxin Fang
Imperial College London United Kingdom
model reduction
machine learning
predictive modeling
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Daniel Truhn
RWTH Aachen University Germany
generative models
machine learning
large language models
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Sergio Chayet
University of Chicago United States of America
stochastic models
queueing models
game-theoretic models
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Jiawei Zhang
University of Wisconsin–Madison United States of America
generative models
machine learning
large language models
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
machine learning
statistical modeling
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Paul Goldberg
University of Oxford United Kingdom
agent-based models
machine learning
game-theoretic models
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Line Clemmensen
University of Copenhagen Denmark
machine learning
statistical modeling
fair modeling
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
generative modeling
deep learning theory
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Nikolai Kühne
Aalborg University Denmark
machine learning
large language models
sequence modelling
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Magnus Röding
Chalmers University of Technology Sweden
machine learning
statistical modeling
stochastic modeling
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