Symbolic Machine Learning Professors in Global

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Kristen Grauman
University of Texas at Austin United States of America
machine learning
interactive machine learning
visual recognition
deep learning
machine perception
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Ralf Peeters
Maastricht University Netherlands
algebraic symbolic computation
machine learning
signal image processing
mathematical modelling
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Ralf Peeters
Maastricht University Netherlands
algebraic symbolic computation
machine learning
signal image processing
mathematical modelling
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
statistical machine learning
machine learning
representation learning
deep learning
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Mirco Ravanelli
Concordia University Canada
machine learning
representation learning
deep learning
signal processing
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Pascal Vincent
University of Montreal Canada
machine learning
representation learning
deep learning
pattern recognition
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
deep learning
explainable machine learning
signal processing
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Krishna Swamy
Yale University United States of America
machine learning
deep learning
geometric deep learning
signal processing
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Anil Bharath
Imperial College London United Kingdom
machine learning
deep learning
signal processing
pattern recognition
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Alexandra Branzan Albu
University of Victoria Canada
machine learning
deep learning
signal processing
pattern recognition
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Alessandra Russo
Imperial College London United Kingdom
symbolic machine learning
neuro-symbolic ai
machine learning
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Yang Zhang
University of Manitoba Canada
symbolic computation
machine learning
image signal processing
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
machine learning
theoretical machine learning
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
machine learning
structured machine learning
interactive machine learning
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Hermann Ney
RWTH Aachen University Germany
sign language recognition
machine learning
statistical machine translation
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Stephen Bach
Brown University United States of America
statistical machine learning
machine learning
statistical relational learning
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Felipe Tobar
Imperial College London United Kingdom
statistical machine learning
machine learning
signal processing
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Linus Ericsson
University of Glasgow United Kingdom
machine learning
automated machine learning
representation learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Pietro Perona
California Institute of Technology United States of America
machine learning
machine vision
visual recognition
visual categorization
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