Deep Learning For Medical Instrumentation 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
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
robot learning
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Hon Kwan
University of Windsor Canada
deep learning
deep neural network design
machine learning
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
deep gaussian processes
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
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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Fatemeh Vafaee
University of New South Wales Australia
deep learning
biomedical artificial intelligence
machine learning
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Thomas Fevens
Concordia University Canada
deep learning
machine learning
medical image processing
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Joseph Gonzalez
University of California, Berkeley United States of America
deep reinforcement learning
accelerated deep learning
machine learning
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Benjamin Joffe
Georgia Institute of Technology United States of America
deep learning
machine learning
robot learning
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Kh Tohidul Islam
Monash University Australia
deep learning
machine learning
medical image processing
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Yee Teh
University of Oxford United Kingdom
deep learning
machine learning
large scale machine learning
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Smith Khare
University of Southern Denmark Denmark
deep learning
machine learning
medical image processing
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Yiqiao Zhong
University of Wisconsin–Madison United States of America
deep learning
machine learning
statistical foundations of deep learning
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Abdolrahman Peimankar
University of Southern Denmark Denmark
deep learning
machine learning
medical ai
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Honglak Lee
University of Michigan United States of America
deep learning
machine learning
large-scale learning
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Nicholas Rhinehart
University of Toronto Canada
deep learning
machine learning
robot learning
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Molei Tao
Georgia Institute of Technology United States of America
deep learning theory
machine learning
dynamical systems machine learning
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Bastian Grossenbacher
University of Fribourg Switzerland
geometric deep learning
topological deep learning
machine learning
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