Robust Neural Networks Professors in Global

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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep reinforcement learning
reinforcement learning
deep learning
robot learning
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Pierre-emmanuel Jabin
Pennsylvania State University United States of America
artificial neural networks
biological neural networks
deep learning
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Nicholas Rhinehart
University of Toronto Canada
reinforcement learning
deep learning
robot learning
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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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John Shen
Carnegie Mellon University United States of America
deep learning
dependable computing
fault-tolerant computing
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Luke Miller
Radboud University Netherlands
neural computations
neural network modeling
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Francisco Cruz Naranjo
University of New South Wales Australia
artificial neural networks
reinforcement learning
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Kathryn Kasmarik
University of New South Wales Australia
artificial neural networks
reinforcement learning
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François Grondin
University of Sherbrooke Canada
artificial neural networks
deep learning
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Michael Doggett
Lund University Sweden
artificial neural networks
deep learning
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Andreas Chatzopoulos
University of Gothenburg Sweden
artificial neural networks
deep learning
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Guido Montufar
University of California Los Angeles United States of America
artificial neural networks
deep learning
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Shengbo Wang
University of Southern California United States of America
distributionally robust control
reinforcement learning
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Shengbo Wang
University of Southern California United States of America
distributionally robust control
reinforcement learning
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Pawel Herman
KTH Royal Institute of Technology Sweden
artificial neural networks
deep architectures
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Konstantin Zuev
California Institute of Technology United States of America
network resilience
complex networks
network models
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Konstantin Zuev
California Institute of Technology United States of America
network resilience
complex networks
network models
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Matthijs Spaan
Delft University of Technology Netherlands
reliable ai algorithms
reinforcement learning
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Arthur Lee
Boston University United States of America
neural predictions
neural patterns
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Kin-choong Yow
University of Regina Canada
deep reinforcement learning
deep learning
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