Scalable Machine Learning Professors in Global

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Mathias Rysgaard
Aalborg University Denmark
predictive modeling
mathematical modeling
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Al Barr
California Institute of Technology United States of America
predictive modeling
mathematical modeling
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Kishor Trivedi
Duke University Singapore
performability modeling
reliability modeling
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Marcial Gonzalez
Purdue University United States of America
predictive modeling
multi-scale modeling
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Mark Winands
Maastricht University Netherlands
adaptive algorithms
machine reasoning
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Hojae Yi
Pennsylvania State University United States of America
mathematical modeling
numerical modeling
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Sitan Chen
Harvard University United States of America
generative modeling
algorithmic learning
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Mara Freilich
Brown University United States of America
mathematical modeling
stochastic modeling
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Bruce Henry
University of New South Wales Australia
mathematical modeling
stochastic modeling
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Adelle Coster
University of New South Wales Australia
mathematical modeling
stochastic modeling
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Varun Kanade
University of Oxford United Kingdom
deep learning
computational learning
randomised algorithms
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Arson Lab
Cornell University Netherlands
deep learning
multi-scale modeling
numerical modeling
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
generative modeling
dynamical systems machine learning
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Paul Newton
University of Southern California United States of America
mathematical modeling
machine learning in healthcare
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Guang Lin
Purdue University United States of America
statistical machine learning
predictive modeling
stochastic multiscale modeling
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Guang Lin
Purdue University United States of America
statistical machine learning
predictive modeling
stochastic multiscale modeling
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Zia Farooq
Umeå University Sweden
machine learning
predictive modelling
explainable ai
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Lyle Ungar
University of Pennsylvania United States of America
predictive modeling
explainable ai
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Jaime Ide
Yale University United States of America
machine learning
predictive modeling
theoretical modeling
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Peipei Zhou
Brown University United States of America
modeling optimization
reconfigurable computing
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Rutger Hermsen
Utrecht University Netherlands
mathematical modeling
computational models
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