Creative Machine Learning Professors in Global

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Katja Thoring
Technical University of Munich Germany
creativity in design
generative ai in design
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Sophia Wilson
University of Copenhagen Denmark
machine learning
resource efficient machine learning
data efficient machine learning
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Xiaohua Huang
University of California, San Diego United States of America
deep machine learning
computational modeling
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Tamsyn Dent
King's College London United Kingdom
creative education
creative labor
creative resistance
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Randy Bruno
University of Oxford United Kingdom
cognitive machinery
computational modeling
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Jason Gantenberg
Brown University United States of America
applied machine learning
computational modeling
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Guang Cheng
University of California Los Angeles United States of America
statistical machine learning
generative data science
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Peter Van Beek
University of Waterloo Canada
applied machine learning
computational photography
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Yisong Yue
California Institute of Technology United States of America
interactive machine learning
machine learning
statistical machine learning
structured machine learning
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Yisong Yue
California Institute of Technology United States of America
interactive machine learning
statistical machine learning
structured machine learning
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Mats Granath
University of Gothenburg Sweden
deep machine learning
quantum machine learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
statistical machine learning
collaborative filtering
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Mark Daley
Western University Canada
applied machine learning
natural computing
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David Brainard
University of Pennsylvania United States of America
computational modeling
machine vision
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Joao Santos
University of Twente Netherlands
statistical machine learning
computational models
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Jonathan Cohen
Princeton University United States of America
computational modeling
cognitive computation
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Mehrdad Mahdavi
Pennsylvania State University United States of America
deep learning
large-scale machine learning
computational statistical machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
deep learning
statistical machine learning
representation learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
deep learning
statistical machine learning
explainable machine learning
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Jun-yan Zhu
Carnegie Mellon University United States of America
computational photography
generative manufacturing
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Guang Lin
Purdue University United States of America
statistical machine learning
predictive modeling
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