Applied Deep Learning Professors in Global

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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
machine learning
deep probabilistic ai
artificial intelligence
bayesian deep learning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
artificial intelligence
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Mohammad Yazdani-asrami
University of Glasgow United Kingdom
deep learning
machine learning
applied superconductivity
artificial intelligence
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Yun Song
University of California, Berkeley United States of America
applied statistics
applied probability
machine learning
artificial intelligence
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Wei Li
University of Victoria Canada
applied ai in automation
applied ai in finance
applied ai in health
applied ai in agriculture
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Vatsa Patel
Penn State Harrisburg United States of America
applied deep learning
machine learning
artificial intelligence
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Farhad Maleki
University of Calgary Canada
applied machine learning
machine learning
artificial intelligence
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Utku Pamuksuz
University of Chicago United States of America
deep learning
applied mathematics
machine learning
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Onkar Jadhav
University of Western Australia Australia
deep learning
applied mathematics
machine learning
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Vladimir Vlassov
KTH Royal Institute of Technology Sweden
applied artificial intelligence
scalable deep learning
machine learning
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Jesper Wulff
Aarhus University Denmark
applied data science
applied statistics
machine learning
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Amanda Barnard
Australian National University Australia
applied machine learning
artificial intelligence
applied materials
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Joseph Gonzalez
University of California, Berkeley United States of America
accelerated deep learning
deep reinforcement learning
machine learning
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Kate Saenko
Boston University United States of America
deep learning
adaptive machine learning
artificial intelligence
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Kun Zhang
Carnegie Mellon University United States of America
deep learning
machine learning
artificial intelligence
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Alain Tapp
Université de Montréal Canada
deep learning
machine learning
artificial intelligence
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Amirali Aghazadeh Mohandesi
Georgia Institute of Technology United States of America
deep learning
machine learning
artificial intelligence
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Nathaniel Bastian
Pennsylvania State University United States of America
deep learning
machine learning
applied econometrics
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Hujun Yin
University of Manchester United Kingdom
deep learning
machine learning
artificial intelligence
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Alireza Sadeghian
Toronto Metropolitan University Canada
deep learning
machine learning
artificial intelligence
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John Doe
KU Leuven Belgium
deep learning
machine learning
artificial intelligence
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