Multi Modal Machine Learning Models Professors in Global

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Bouchra Nasri
University of Montreal Canada
statistical models
mathematical modelling
multivariate analysis
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
multimodal processing
statistical machine learning
large language models
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Lei Ding
University of Manitoba Canada
statistical machine learning
large language models
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Yuxin Chen
University of Pennsylvania United States of America
statistical machine learning
machine learning theory
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Purnamrita Sarkar
University of Texas at Austin United States of America
statistical machine learning
statistical models
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Martin Trapp
KTH Royal Institute of Technology Sweden
probabilistic machine learning
large language models
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Jamie Lloyd-smith
University of California Los Angeles United States of America
mathematical modeling
statistical models
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Alexander Pearson
University of Chicago United States of America
mathematical modeling
statistical models
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Roman Bresson
KTH Royal Institute of Technology Sweden
large language models
multimodal representation
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
multivariate high dimensional data analysis
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Maggie Niu
Pennsylvania State University United States of America
multivariate analysis
network models
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Kai Brüssau
University of Hamburg Germany
large language models
regression models
classification models
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Dietrich Von Rosen
Linköping University Sweden
multivariate analysis
linear models
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Giorgia Ramponi
University of Zurich Switzerland
machine learning
mathematical modeling
multi-agent learning
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Narayanaswamy Balakrishnan
McMaster University Canada
statistical models
probabilistic models
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Alexander Engau
Dalhousie University Canada
mathematical modeling
multiple criteria decision analysis
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Alexander Engau
Dalhousie University Canada
mathematical modeling
multiple criteria decision analysis
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Vesna Sossi
University of British Columbia Canada
multimodality imaging
molecular multi-modality imaging
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Bilge Atasoy
Delft University of Technology Netherlands
decision making models
choice-based optimization models
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Manuel Lopez-ibanez
University of Manchester United Kingdom
machine learning
multi-criteria decision making
multi-objective optimisation
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Serge Provost
Western University Canada
multivariate statistical analysis
probabilistic models
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