Deep Behavioral Phenotyping Professors in Global

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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
bayesian deep learning
machine learning
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
bayesian deep learning
machine learning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
pattern recognition
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Mogana Ganggayah
Monash University Australia
deep learning
machine learning
predictive modeling
decision analytic modelling
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Heather Whalley
University of Edinburgh United Kingdom
computational phenotyping
electronic phenotyping
molecular phenotyping
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Jingmin Huang
University of Southampton United Kingdom
deep generative models
deep learning
machine learning
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Hon Kwan
University of Windsor Canada
deep learning
deep neural network design
machine learning
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Yee Teh
University of Oxford United Kingdom
deep learning
large scale machine learning
machine learning
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Krishna Swamy
Yale University United States of America
deep learning
geometric deep learning
machine learning
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Divya Sharma
York University Canada
deep learning
machine learning
pattern recognition
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Vishnu Boddeti
Michigan State University United States of America
deep learning
machine learning
pattern recognition
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Tingting Zhu
University of Oxford United Kingdom
deep learning
machine learning
dynamic modelling
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Alexandra Branzan Albu
University of Victoria Canada
deep learning
machine learning
pattern recognition
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Ramandeep Randhawa
University of Southern California United States of America
deep learning
machine learning
stochastic modeling
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George Azzopardi
University of Groningen Netherlands
deep learning
machine learning
pattern recognition
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Arthur Jacot
New York University United States of America
deep learning
training dynamics of deep neural networks
feature learning
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Samir Maity
Aalborg University Denmark
deep learning
machine learning
predictive modeling
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Thomas Fevens
Concordia University Canada
deep learning
machine learning
pattern recognition
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Homay Danaei Mehr
Macquarie University Australia
deep learning
machine learning
pattern recognition
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Anil Bharath
Imperial College London United Kingdom
deep learning
machine learning
pattern recognition
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John Doe
University of Wisconsin–Madison United States of America
deep learning
machine learning
predictive modeling
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