Deep Learning Neural Networks Professors in Global

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Tansu Celikel
Georgia Institute of Technology United States of America
computational modeling
network models
neural information processing
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Leandros Tassiulas
Yale University United States of America
complex networks
mathematical models
sensor networks
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Bastien Chopard
University of Geneva Switzerland
computational modeling
complex networks
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Santosh Vempala
Georgia Institute of Technology United States of America
computational learning theory
randomized algorithms
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Elchanan Mossel
Massachusetts Institute of Technology United States of America
mathematical foundations of deep learning
randomized algorithms
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Bruce Maggs
Duke University Singapore
computer networks
networking algorithms
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Sham Kakade
Harvard University United States of America
large-scale learning systems
neural architectures
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Glenn Vinnicombe
University of Cambridge United Kingdom
complex networks
communication networks
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Anmar Khadra
McGill University Canada
computational modeling
neural encoding
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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
stochastic algorithms
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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
stochastic algorithms
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Nikolay Malkin
University of Edinburgh United Kingdom
bayesian machine learning
machine reasoning
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Scott Johnson
University of California Los Angeles United States of America
computational modeling
learning mechanisms
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Patrick Thiran
École Polytechnique Fédérale de Lausanne Switzerland
communication networks
stochastic models
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Patrick Thiran
École Polytechnique Fédérale de Lausanne Switzerland
communication networks
stochastic models
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Konstantin Zuev
California Institute of Technology United States of America
complex networks
network models
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Konstantin Zuev
California Institute of Technology United States of America
complex networks
network models
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Y. Yang
Yale University United States of America
computer networks
sensor networks
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Y. Yang
Yale University United States of America
computer networks
sensor networks
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Wenyuan Wang
University of Calgary Canada
machine learning
quantum machine learning
quantum networks
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Mikhail Glazunov
Delft University of Technology Netherlands
deep learning
bayesian deep learning
robustness of deep neural networks
probabilistic modeling
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