Multimodal Representation Learning Professors in Global

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Klaus-robert Müller
Technical University of Berlin Germany
multimodal learning
machine learning
probabilistic machine learning
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Klaus Müller
Technical University of Berlin Germany
multimodal learning
machine learning
probabilistic machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
multimodal processing
representation learning
statistical machine learning
machine learning
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Giorgia Ramponi
University of Zurich Switzerland
multi-agent learning
mathematical modeling
machine learning
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
theoretical machine learning
machine learning
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Chen Qin
Imperial College London United Kingdom
multi-modal representation learning
machine learning
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Michael Ingrisch
Ludwig Maximilian University of Munich Germany
multimodal learning
machine learning
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Tyler Bradshaw
University of Wisconsin–Madison United States of America
multimodal learning
machine learning
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Fenglong Ma
Pennsylvania State University United States of America
multimodal learning
machine learning
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Cheng Ouyang
University of Oxford United Kingdom
multimodal learning
machine learning
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Mohammad Soleymani
University of Southern California United States of America
multimodal machine learning
machine learning
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Susu Xu
Johns Hopkins University United States of America
multi-modal sensing learning
statistical machine learning
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Zakia Hammal
Carnegie Mellon University United States of America
multimodal human behavior modeling
machine learning
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Samuel Ajila
Carleton University Canada
multi-modal learning applications
machine learning
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Ali Ahrari
University of New South Wales Australia
multi-modal optimization
multi-objective optimization
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Ying Wu
Northwestern University United States of America
multi-modal perception
statistical learning
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Andrea Cavallaro
École Polytechnique Fédérale de Lausanne Switzerland
multi-modal models
machine learning
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Michael Maire
University of Chicago United States of America
visual representation learning
machine learning
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Ali Bakhshi
University of New South Wales Australia
multimodal emotion recognition
machine learning
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Jiajun Wu
Stanford University United States of America
multi-modal perception
machine learning
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Brendan Wright
University of New South Wales Australia
generative representation learning
machine learning
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